anvaya-ai (ashish-mishra-ai/anvaya-ai) is an MCP server listed on the M8ven Trust Index. M8ven has not graded it: we have no way to read this server ourselves. No publisher has claimed this listing.

C
Limited view
71/100
25 days ago

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

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Who stands behind it

ashish-mishra-ai

Source: github_code

Is this your MCP?

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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.
Open source with a license and README
Anyone can audit the code, the license is declared, and the publisher documents what it does.
🔐
You'll be asked for 4 credentials: ANVAYA_MCP_TOKEN, ANVAYA_BRIDGE_TOKEN, ANVAYA_AI_API_KEY, ANVAYA_AUTH_PASSWORD
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.
configANVAYA_MCP_INSECURE_PUBLIC_BIND
🔐 secretANVAYA_MCP_TOKEN
configFASTMCP_HOST
configFASTMCP_PORT
configFASTMCP_LOG_LEVEL
configANVAYA_MCP_TRANSPORT
configANVAYA_CORS_ORIGINS
configANVAYA_DEV
configANVAYA_BRIDGE_API
🔐 secretANVAYA_BRIDGE_TOKEN
configANVAYA_BRIDGE_VERBOSE_ERRORS
configANVAYA_TELEGRAM_BOT
configANVAYA_TELEGRAM_IDS
configANVAYA_DISCORD_BOT
configANVAYA_DISCORD_IDS
configANVAYA_BRIDGE_MODE
configANVAYA_CONFIGstdio anvaya-mcp --transport stdio — set or run from project root so config.yaml resolves.
configANVAYA_AI_PROVIDERe =ollama \
configANVAYA_AI_MODELe =qwen3:1.7b \
🔐 secretANVAYA_AI_API_KEYGoogle AI (free) ANVAYA_AI_PROVIDER=gemini · ANVAYA_AI_MODEL=gemini-2.5-flash · =AIza...
configANVAYA_AI_API_BASEOpenRouter (free) ANVAYA_AI_PROVIDER=openrouter · ANVAYA_AI_MODEL=openai/gpt-oss-20b:free · ANVAYA_AI_API_KEY=sk-or-... · =https://openrouter.ai/api/v1
🔐 secretANVAYA_AUTH_PASSWORD
configANVAYA_ENTITY_RESOLUTION_LLM
configANVAYA_OBSERVABILITYOptional add-ons — append-only JSONL traces (=1)
configANVAYA_DATA_DIR
configANVAYA_OBSERVABILITY_PROVIDER
configANVAYA_FLASHRANK_CACHE
configANVAYA_RERANKER_MODEL
configANVAYA_WHISPER_MODEL
configANVAYA_WHISPER_DEVICE
configANVAYA_WHISPER_COMPUTE
configANVAYA_MEETING_MAX_UPLOAD_BYTES
// 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

4/4 tools missing one or more hints — search_graph (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_note_by_id (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); create_insight (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +1 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 handlers catch errors

Only 1/4 tool handlers wrap calls in try/catch (25%)

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

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 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/ashish-mishra-ai-anvaya-ai-1viiix)](https://m8ven.ai/mcp/ashish-mishra-ai-anvaya-ai-1viiix)
Shows your grade and updates automatically. Prefer no grade? Append ?variant=verified to the badge URL.
commit: 84b70966aed3866b97fd8ea8f52fdc5c2cbfd910
code hash: c097dade0bc648b851f802a7d426d425c93621c551e6657a481546ea01015679
verified: 8/8/2026, 8:04:19 AM
view raw JSON →
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