AI Research Assistant MCP Server (sagarkpoojary/sagar-mcp-project) is an MCP server listed on the M8ven Trust Index. It scores 29 out of 100, grade F. It declares 31 tools. No publisher has claimed this listing.

F
Warning
29/100

AI Research Assistant MCP Server

An MCP-based AI agent that retrieves and processes documents to answer queries using a RAG pipeline with LangChain and Claude models. It enables document indexing, context-aware retrieval, and multi-tool orchestration for research and knowledgebase applications.

Warning. Serious findings were identified. Review the full report before connecting. Grades reflect the full trust pyramid: code, verification depth, and reputation. New projects cap at C until adoption is earned.

How we verified

⚡ Live Monitored: not connected

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⚡ Connect GitHub → continuous verification on every pushwhy connect →

Who stands behind it

sagarkpoojary

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
⚠️
Tool descriptions don’t match what handlers do
2 tools describe read intent but their handlers mutate — search_jobs (line 78: with open(temp_path, "w") as f:); save_job (line 179: with open(job_file, "w") as f:)
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
🔐
You'll be asked for 4 credentials: RAPIDAPI_KEY, OPENAI_API_KEY, CLAUDE_API_KEY, FIRECRAWL_API_KEY
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// tools this server exposes17 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.

search_jobs

Fetch jobs using JSearch API and store them temporarily. Return key info.

save_job

Save a specific job from temporary list into candidate's saved folder. If salary is not provided, it tries to extract it from the fetched job data.

ingest_pdf

Ingest PDF from folder, file path, or URL Args: source: Can be: - Folder path: processes all PDFs in folder - File path: processes single PDF - URL: downloads and processes PDF Returns: Status and number of chunks added

retrieve

Retrieve top N chunks for given query Args: query: Search query n: Number of chunks to retrieve Returns: Top N matching chunks with scores

db_info

Get ChromaDB and collection information Returns: Database and collection statistics

clear_db

Clear all data from database Returns: Confirmation message

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

add

Add two numbers

get_weather

Get current weather for a location

get_forecast

Get 3-day weather forecast

multiply

Multiply two numbers

subtract

Subtract two numbers

divide

Divide two numbers

// 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.
🔐 secretRAPIDAPI_KEY
configRAPIDAPI_HOST
🔐 secretOPENAI_API_KEYexport =...
🔐 secretCLAUDE_API_KEYexport =...
🔐 secretFIRECRAWL_API_KEY
// 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

31/31 tools missing one or more hints — search_jobs (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); save_job (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); ingest_pdf (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +28 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

2 tools perform destructive updates without destructiveHint — delete_research_topic deletes at line 224 (shutil.rmtree(topic_path)); delete_research_topic deletes at line 224 (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.

Descriptions match behaviour

2 tools describe read intent but their handlers mutate — search_jobs (line 78: with open(temp_path, "w") as f:); save_job (line 179: with open(job_file, "w") as f:)

Rename the tool, rewrite the description, or move the side-effect into a separate clearly-named tool.

Tool inputs are validated

27/31 tool handlers declare input schemas (87%)

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

Tool handlers catch errors

Only 14/31 tool handlers wrap calls in try/catch (45%)

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.

Tool description accuracy

search_jobs: description implies read-only but handler writes/deletes/executes; save_job: description implies read-only but handler writes/deletes/executes

Update tool descriptions to accurately reflect all capabilities — especially write, delete, or execute operations.

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 9 concrete improvements we can share with the publisher of this MCP. Each comes with specific guidance to raise the trust score.
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commit: 1ec6964f595f4d9982462eb8cbcb640e940b786d
code hash: 854560638fbcf160d12cfe7cc431e7771ddde6b55325a2faa6255ddff1abf6b8
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