graphiti_mcp (apexneural-hansika/graphiti_mcp) is an MCP server listed on the M8ven Trust Index. It scores 74 out of 100, grade C. It declares 5 tools. No publisher has claimed this listing.

Back to MCP Trust IndexM8ven
C
Emerging
74/100
23 days ago

graphiti_mcp

Provides persistent memory and context continuity for AI agents using Zep's Graphiti and Neo4j graph database. Enables storing, retrieving, and linking memories to build a knowledge graph accessible across Cursor and Claude.

→ apexneural-hansika/graphiti_mcp· listed on glama

Emerging. No concerning findings. Grades remain capped until the project builds reputation through adoption. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

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Who stands behind it

apexneural-hansika

Source: Glama · also listed on modelscope

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Install from

Glamamodelscope

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// key findings
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
🔐
You'll be asked for 3 credentials: NEO4J_PASSWORD, OPENROUTER_API_KEY, OPENAI_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// environment variables
To run this server yourself, you supply these values. They go in your own MCP client configuration and stay on your machine. The secret label means the value is sensitive, not that the server mishandles it.
configNEO4J_URIReplace with your Neo4j connection string
configNEO4J_USER
🔐 secretNEO4J_PASSWORDReplace with your Neo4j password
🔐 secretOPENROUTER_API_KEY
🔐 secretOPENAI_API_KEYReplace <your_openrouter_api_key> with your OpenRouter API key (or use for OpenAI)
configMODEL_NAMEAdjust if needed
configWEB_UI_PORT
// quality suggestions

Tool annotations

No tools have read-only/destructive annotations

Add readOnlyHint or destructiveHint annotations to every tool so hosts can warn users before invoking.

All four hints declared on every tool

5/5 tools missing one or more hints — store_memory (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); retrieve_memories (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); create_relationship (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +2 more. OpenAI's directory rejects tools where any of the four hints are missing or non-boolean.

For every tool, set all four hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint) to explicit true/false values that match the handler’s actual behaviour.

License file

No license file

Add a LICENSE file (MIT, Apache-2.0, etc.).

Tool test coverage

Only 0/5 tools referenced in tests (0%)

Write tests that reference each tool by name so every tool has at least one test.

Claim the listing to review these findings one by one and send us a correction where you disagree, straight to the team. Claiming also means we tell you when the grade moves, and reach you first if we find anything urgent.

// full audit trail
The findings above are the summary. The full trail, every check we ran, each deduction, the network hosts observed and the dependency advisories, goes to verified publishers, along with an alert whenever a new one lands. Verified publishers can also review each finding and dispute it in one click. Publisher corrections have sharpened several of our checks this month, because the maintainer knows the codebase better than any scanner.
// improvement guidance — verified publishers only
We have 4 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
// embed badge in your README
[![M8ven Score](https://m8ven.ai/badge/mcp/apexneural-hansika/graphiti_mcp)](https://m8ven.ai/mcp/apexneural-hansika/graphiti_mcp)
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commit: 7281027e5dc455386e5fea335bca5f2dbc7f3acf
code hash: 57b2878fdef1d91cd2316a5097e282e3223c4fcd2f2cece06e0a0b5d45a2ca4c
verified: 8/18/2026, 7:04:28 PM
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