# GitHub Repository Intelligence MCP Server (`cg_nguyen/github-repo-intel-mcp`) Actor

MCP server for AI coding agents. Pulls structured intel from any public GitHub repository — overview, recent PRs, contributors, hot files, CI status, dependencies — over HTTP/JSON-RPC. Optional PAT for private repos and higher rate limits.

- **URL**: https://apify.com/cg\_nguyen/github-repo-intel-mcp.md
- **Developed by:** [CG Nguyễn](https://apify.com/cg_nguyen) (community)
- **Categories:** AI, Developer tools
- **Stats:** 1 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 mcp tool calls

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).

If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).


# README

## GitHub Repository Intelligence MCP Server

A hosted [Model Context Protocol](https://modelcontextprotocol.io) server that gives AI coding agents structured intelligence about any GitHub repository — overview, recent PRs, contributors, hot files, CI status, and dependencies — through a single MCP endpoint.

**No local setup. No `git clone`. No Octokit boilerplate.** Plug your agent into the MCP URL and start asking questions.

### Why this exists

Local GitHub MCP servers exist, but they require every user to set up Node/Python, install the server, manage tokens, and keep it patched. This Actor runs on Apify's platform and is reachable as a hosted streamable-HTTP MCP endpoint — your agent just needs the URL.

It's useful when you want an LLM to reason about a codebase without giving it filesystem or shell access: think code-review bots, repo-onboarding helpers, dependency-audit agents, refactor planners.

#### Hosted vs local — when this saves you time

| | This Actor | Local MCP server |
|---|---|---|
| Setup | Paste URL + token into client config | `git clone`, install deps, manage Node/Python versions |
| Distribution | Same URL works for every teammate | Each teammate sets up their own |
| Updates | Always latest server build | You patch + redeploy |
| Auth surface | One Apify token + optional GitHub PAT in tool args | GitHub PAT lives on every machine |
| Cost when idle | $0 (Standby mode, billed per call) | Whatever your laptop/server costs |
| When local wins | Air-gapped repos, on-prem GitHub Enterprise | — |

#### Three workflows it shortens

1. **Repo onboarding** — drop the URL into Claude Code, ask *"give me a one-page brief on `kubernetes/kubernetes`: maintainers, top 10 hot files, current PR pipeline, CI health."* One conversation, six tool calls, no clones.
2. **PR-review prep** — before reviewing a stranger's PR, run `get_contributors` + `list_recent_prs` + `get_hot_files` on the target repo to know who you're dealing with and where the churn actually lives.
3. **Dependency / supply-chain audit** — `get_dependencies` across a list of repos in a loop, no shell access required, no risk of malicious `npm install` running on your machine.

### Tools exposed

| Tool | What it returns | Typical use |
|---|---|---|
| `get_repo_overview` | Stars, forks, language, license, topics, last push | "Is this repo still maintained?" |
| `list_recent_prs` | Recent PRs with author, state, merge dates | "Show me the last 20 merged PRs by user X" |
| `get_contributors` | Top contributors by commit count | "Who maintains this project?" |
| `get_hot_files` | Most-modified files over the last N commits | "Where's the churn?" |
| `get_ci_status` | Check runs and conclusions for a ref | "Is the default branch green?" |
| `get_dependencies` | Parses `package.json`, `requirements.txt`, `go.mod`, `Cargo.toml`, `pyproject.toml` | "What does this project depend on?" |

Every tool accepts an optional `github_token` parameter. With no token you get GitHub's 60-req/hour limit on public repos. Provide a fine-grained PAT and you get 5,000 req/hour and can access private repos.

### Pricing

**$0.005 per tool call. First 100 calls free per user.**

Pay-per-event model — you only pay when a tool actually executes. No subscription, no minimums. The server runs in Apify Standby mode, so you're not billed for idle time.

### Usage

#### From an MCP-aware client (Claude Desktop, Cursor, Continue, etc.)

The Actor exposes a Streamable-HTTP MCP transport at:

````

https://cg-nguyen--github-repo-intel-mcp.apify.actor/mcp

````

Authentication uses your Apify token via the `Authorization: Bearer <APIFY_TOKEN>` header — most MCP clients let you configure this in their server config.

#### Example tool call (raw JSON-RPC)

```bash
curl -X POST https://cg-nguyen--github-repo-intel-mcp.apify.actor/mcp \
  -H "Authorization: Bearer <APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/call",
    "params": {
      "name": "get_repo_overview",
      "arguments": {"owner": "facebook", "repo": "react"}
    }
  }'
````

#### From Claude Desktop config

```json
{
  "mcpServers": {
    "github-repo-intel": {
      "url": "https://cg-nguyen--github-repo-intel-mcp.apify.actor/mcp",
      "headers": {
        "Authorization": "Bearer <APIFY_TOKEN>"
      }
    }
  }
}
```

### Limits and caveats

- Free tier on Apify gets you $5/month of usage credits — enough for ~1,000 free tool calls before the per-event price kicks in.
- The `get_hot_files` tool scans up to 200 commits and makes one API call per commit, so it eats GitHub rate limit the fastest. Pass a `github_token` if you call it often.
- `get_ci_status` reads the GitHub **Checks API** — it surfaces GitHub Actions, CodeQL, and any third-party check that posts back via the Checks API. Repos that run their CI entirely on **external systems** (Prow, Buildkite, CircleCI without GitHub integration) may show 0 check runs even when the build is green. The response includes a `note` field flagging this case.
- This is a **read-only** server. It cannot create PRs, comment on issues, or modify any repository state.
- All data comes straight from the GitHub REST API — no caching layer, so freshness equals what the GitHub API returns.

### Source & roadmap

Author: [luongnp](https://github.com/luongnp). Open to feature requests — file an issue on the Actor page if you want a tool added (issues board, releases, dependency vulnerabilities via Dependabot API, etc.).

# Actor input Schema

## Actor input object example

```json
{}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("cg_nguyen/github-repo-intel-mcp").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("cg_nguyen/github-repo-intel-mcp").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call cg_nguyen/github-repo-intel-mcp --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=cg_nguyen/github-repo-intel-mcp",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "GitHub Repository Intelligence MCP Server",
        "description": "MCP server for AI coding agents. Pulls structured intel from any public GitHub repository — overview, recent PRs, contributors, hot files, CI status, dependencies — over HTTP/JSON-RPC. Optional PAT for private repos and higher rate limits.",
        "version": "0.3",
        "x-build-id": "xQ3GIM20jPdmQFjWz"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/cg_nguyen~github-repo-intel-mcp/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-cg_nguyen-github-repo-intel-mcp",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/cg_nguyen~github-repo-intel-mcp/runs": {
            "post": {
                "operationId": "runs-sync-cg_nguyen-github-repo-intel-mcp",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/cg_nguyen~github-repo-intel-mcp/run-sync": {
            "post": {
                "operationId": "run-sync-cg_nguyen-github-repo-intel-mcp",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "properties": {}
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```