F
Warning
11/100
6 days ago

mcp-server-ollama-deep-researcher

This is a Model Context Protocol (MCP) server adaptation of LangChain Ollama Deep Researcher. It provides the deep research capabilities as MCP tools that can be used within the model context protocol ecosystem, allowing AI assistants to perform in-depth research on topics (locally) via Ollama

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.

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Who stands behind it

Cam10001110101

Source: modelscope

Is this your MCP?

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// key findings
🚨
Secret credentials may flow to a network call
1 flow detected: PERPLEXITY_API_KEY. We can’t prove the destination matches the brand the credential belongs to.
⚠️
Tool descriptions don’t match what handlers do
1 tool describes read intent but its handler mutates — research (line 120: spawn(command, [)
🔐
You'll be asked for 3 credentials: EXA_API_KEY, PERPLEXITY_API_KEY, TAVILY_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.
configDOCKER_CONTAINER
🔐 secretEXA_API_KEYFor Exa: (Get yours at https://dashboard.exa.ai/api-keys)
🔐 secretPERPLEXITY_API_KEYFor Perplexity:
🔐 secretTAVILY_API_KEYFor Tavily:
// 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

3/3 tools missing one or more hints — research (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_status (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); configure (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint). 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.

Descriptions match behaviour

1 tool describes read intent but its handler mutates — research (line 120: spawn(command, [)

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

Tool inputs are validated

2/3 tool handlers declare input schemas (67%)

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

Tests exist

No test files found

Add tests that exercise each declared tool.

Shell command execution

1 child_process/subprocess call in production code — runs shell commands (src/index.ts:120)

Prefer library functions over shell-outs. If you must shell out, ensure all inputs are properly escaped.

Secrets never reach shell commands

1 secret value passed to shell commands — possible command injection

Never pass secrets through shell commands. Use library APIs that accept credentials as arguments.

Secrets not logged

1 secret value sent to console.log

Redact or omit secret values from log output.

Tool description accuracy

research: 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.
// embed badge in your README
[![M8ven Verified](https://m8ven.ai/badge/mcp/cam10001110101-mcp-server-ollama-deep-researcher-nq1py8?variant=verified)](https://m8ven.ai/mcp/cam10001110101-mcp-server-ollama-deep-researcher-nq1py8)
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commit: fb5eadedb915829650b656e852914067fb85e9b0
code hash: 45485862ab8a0fd5270bdc1b678a535acdb351745fa3b26ab8373840b653a135
verified: 8/13/2026, 10:21:37 PM
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