Pocket Assistant MCP Server (VikashS/pocket_agent_mcp) is an MCP server listed on the M8ven Trust Index. It scores 56 out of 100, grade D. It declares 5 tools. No publisher has claimed this listing.

D
Caution
56/100

Pocket Assistant MCP Server

Enables AI assistants to save, retrieve, and manage research content using ChromaDB vector storage with semantic search, topic organization, and automatic deduplication powered by OpenAI embeddings.

Caution. Specific findings reduced this grade. They are listed on the page. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

Code Verified⚡ Live Monitored: not connected

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⚡ Connect GitHub → continuous verification on every pushwhy connect →

Who stands behind it

VikashS

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 →

Install from

The grade above is for the source repository. Registries can serve a different version, so we mark the ones we were not able to read.

// 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 1 credential: FIRECRAWL_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// tools this server exposes5 tools

These names and descriptions are the publisher's own, read from the source code. We print them as written. Our assessment is the findings above, not this list.

save_research_data

Save research content to vector database for future retrieval. Args: content: List of text content to save topic: Topic name for organizing the data (creates separate DB)

search_research_data

Search through saved research data using semantic similarity. Args: query: Search query topic: Topic database to search in max_results: Maximum number of results to return

list_research_topics

List all available research topics (vector databases).

delete_research_topic

Delete a research topic and all its data. Args: topic: Topic name to delete

get_topic_info

Get detailed information about a research topic. Args: topic: Topic name to get info for

// 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.
🔐 secretFIRECRAWL_API_KEY
configPOCKET_DB_PATH"": "/path/to/data"
// 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 — save_research_data (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); search_research_data (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); list_research_topics (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.

Destructive tools are labelled

1 tool perform destructive updates without destructiveHint — delete_research_topic deletes at line 228 (shutil.rmtree(topic_path))

Add destructiveHint:true to any tool whose handler calls .delete(), .upsert(), .update(), unlink, rm, DELETE, DROP, REPLACE INTO, or any operation that overwrites existing data.

Tool inputs are validated

4/5 tool handlers declare input schemas (80%)

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

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 5 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
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commit: dfc7ad5f6179983a699f1c587460a5406a8518ae
code hash: 4c72b7a0dcc14909db183010598fd4876f7737a43e394c3b3a96806f96e9bf5a
view raw JSON →
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