C
Limited view
67/100
15 days ago

OpenCode Brain

MCP server that gives OpenCode a persistent, graph-based memory with semantic search, iterative retrieval, and session-aware knowledge management. It supports capturing fleeting and permanent notes, distilling insights, tracking mistakes and fixes, and auto-archiving stale memories.

Limited view. Automated analysis covers part of this stack. Findings reflect what we verified. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

Limited view: static analysis for Python is partially covered.

How we verified

Code Verified⚡ Live Monitored: not connected

Verified is a snapshot. Live keeps it current, and builds your track record.

⚡ Connect GitHub → continuous verification on every pushwhy connect →

Who stands behind it

Adityaladi

Source: Glama

Is this your MCP?

Claim it to get a verified publisher badge, a free copy of our full audit findings, and direct contact for any high-priority issues we find. Or connect your repo for our deepest verification, Live Monitored: read-only, revoke anytime. What we access →

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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 2 credentials: HUGGINGFACE_API_KEY, OBSIDIAN_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.
configQDRANT_HOSTlocalhost Qdrant server host
configQDRANT_PORT6333 Qdrant server port
configQDRANT_COLLECTIONopencode_brain Collection name
configEMBEDDING_MODELsentence-transformers/all-MiniLM-L6-v2 Embedding model
🔐 secretHUGGINGFACE_API_KEY├── .env.example # copy to .env and fill in at minimum
configHUGGINGFACE_PROVIDER
configFAST_MODEL_IDQwen/Qwen3-4B-Instruct-2507 Fast default LLM for note construction and extraction
configFAST_MODEL_PROVIDERfeatherless-ai Inference provider for the fast model (overridden to nscale in .env)
configFAST_MODEL_MAX_TOKENS
configHARD_MODEL_IDQwen/Qwen3-30B-A3B-Instruct-2507 Hard fallback model for synthesis and memory evolution
configHARD_MODEL_PROVIDERfeatherless-ai Inference provider for the hard model
configHARD_MODEL_MAX_TOKENS
configOLLAMA_HOST
configOLLAMA_ENABLED
configOLLAMA_FAST_MODEL
configOLLAMA_HARD_MODEL
configOBSIDIAN_HOST
🔐 secretOBSIDIAN_API_KEYyour-key-here
configOBSIDIAN_VAULT_SUBFOLDERbrain Subfolder in vault for notes
configGRAPH_PATH~/.opencode-brain/graph.json Knowledge graph persistence path
configSTALE_DAYS_THRESHOLD45 Days before a note is stale
configSTALE_ACCESS_THRESHOLD2 Min accesses to be immune from archival
// 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

19/19 tools missing one or more hints — add_memory (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); search_memory (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_related (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +16 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.

Tool inputs are validated

18/19 tool handlers declare input schemas (95%)

Declare an inputSchema with zod/joi/yup on every tool definition.

Tool handlers catch errors

Only 1/19 tool handlers wrap calls in try/catch (5%)

Wrap each tool handler body in try/catch and return a structured error response.

License file

No license file

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

Tests exist

No test files found

Add tests that exercise each declared tool.

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 6 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/adityaladi-ai-bain-197di1)](https://m8ven.ai/mcp/adityaladi-ai-bain-197di1)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 8f4f6348cc7bcb8751ba225e2ea6f07f13e417b5
code hash: 0e5a626741f21cd8daa565db79bb1ca82ba971aa3f0c598be57b9e2ed6935037
verified: 8/5/2026, 8:59:06 AM
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