Cognitive Services MCP Server
Pricing
from $8.00 / 1,000 novelty gates
Cognitive Services MCP Server
MCP server giving AI agents a cognitive layer. Three tools: semantic_dedup (detect duplicate knowledge), novelty_gate (should this be stored?), and belief_check (do two ideas agree?). Powered by vector embeddings and Gemini. Pay-per-use.
Pricing
from $8.00 / 1,000 novelty gates
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IDAPIXL
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Cognitive Services MCP — Memory Dedup, Novelty & Belief
Give your AI agents a shared cognitive layer. Three tools for managing what gets stored, what gets skipped, and whether two ideas actually agree.
Quick Connect
Claude Desktop (claude_desktop_config.json):
{"mcpServers": {"cognitive-services": {"command": "npx","args": ["-y", "@apify/actors-mcp-server", "--actors", "idapixl/cognitive-services-mcp"],"env": {}}}}
Claude Code (.mcp.json):
{"mcpServers": {"cognitive-services": {"command": "npx","args": ["-y", "@apify/actors-mcp-server", "--actors", "idapixl/cognitive-services-mcp"]}}}
Tools
semantic_dedup
Check whether a piece of text is semantically novel or a duplicate of existing knowledge.
Input:
| Field | Type | Required | Description |
|---|---|---|---|
text | string | Yes | The text to check (max 4,000 characters) |
Output:
{"decision": "novel","novelty_score": 0.87,"max_similarity": 0.13,"nearest_concept": "Transformer architecture"}
decision:novel(safe to store),link(related, add a reference),merge(near-duplicate, skip or merge)novelty_score: 0–1 (1 = fully novel, 0 = exact duplicate)nearest_concept: name of the closest match in memory, if any
Example call:
semantic_dedup("Attention mechanisms allow models to weigh the importance of different tokens when generating each output token.")
novelty_gate
Evaluate whether new information is worth storing and check for contradictions with existing beliefs.
Input:
| Field | Type | Required | Description |
|---|---|---|---|
text | string | Yes | The text to evaluate (max 4,000 characters) |
Output:
{"novelty_score": 0.62,"recommendation": "store","conflicting_belief": null,"related_concepts": [{ "name": "Self-attention", "similarity": 0.71 },{ "name": "BERT", "similarity": 0.58 }]}
recommendation:store(write it),skip(redundant),merge(consolidate with existing),contradiction_flag(conflicts with a belief — review before storing)conflicting_belief: name of the belief it conflicts with, if any
Example call:
novelty_gate("GPT-4 cannot reason about multi-step logical problems without chain-of-thought prompting.")
belief_check
Check two statements for logical consistency.
Input:
| Field | Type | Required | Description |
|---|---|---|---|
statement_a | string | Yes | First statement (max 4,000 characters) |
statement_b | string | Yes | Second statement (max 4,000 characters) |
context | string | No | Optional context to guide the check (max 500 characters) |
Output:
{"verdict": "tension","reasoning": "The statements exist in tension — not directly contradictory but pulling in different directions.","related_concepts": [{ "name": "Model scaling", "similarity": 0.83 },{ "name": "Emergent capabilities", "similarity": 0.77 }]}
verdict:genuine(direct contradiction),tension(pulling in different directions),complementary(compatible, different angles),unrelated(no meaningful relationship)
Example call:
belief_check("Larger models always perform better on reasoning tasks.","Smaller fine-tuned models outperform large general models on narrow domains.","AI model performance and scale")
Pricing
| Tool | Price | What triggers it |
|---|---|---|
semantic_dedup | $0.003 | One deduplication check |
novelty_gate | $0.008 | One novelty evaluation (includes contradiction check) |
belief_check | $0.015 | One belief consistency evaluation |
Pay-per-use. No subscription. No minimum. Charged per successful tool call.
How It Works
This is a proxy actor — it wraps the Idapixl Cortex cognitive service as MCP tools.
Your Agent││ MCP tool call (JSON-RPC over HTTP)▼Apify Standby Actor ←── Express + MCP SDK││ POST /x402/dedup|novelty|belief▼Idapixl Cortex (Cloud Run)││ Vertex AI Embeddings + Firestore vector search + Gemini LLM▼Response → MCP tool result → Your Agent
The cortex service runs Vertex AI text embeddings against a shared memory graph stored in Firestore. Belief checking uses Gemini to evaluate logical consistency.
Stateless design: Every MCP request is isolated. No session state is maintained between calls.
Configuration
| Input | Type | Default | Description |
|---|---|---|---|
cortexUrl | string | https://idapixl-cortex-215390428499.us-central1.run.app | Cortex service base URL |
cortexApiKey | string (secret) | — | Optional API key for authenticated access |
Links
- Website: idapixl.com
- GitHub: github.com/idapixl
- Web Research MCP: apify.com/idapixl/web-research-mcp


