linkedit-mcp (SimbioLabs/linkedit-mcp) is an MCP server listed on the M8ven Trust Index. It scores 52 out of 100, grade D. It declares 16 tools. No publisher has claimed this listing.

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D
Caution
52/100

linkedit-mcp

Enables AI assistants to read and edit LinkedIn profiles including headline, about section, work experience, education, and skills through OAuth 2.0 authentication.

→ SimbioLabs/linkedit-mcp· listed on glama

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

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Who stands behind it

SimbioLabs

Source: Glama

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Install from

Glamanot scored here

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
⚠️
Known vulnerabilities in dependencies: 15 high
Affects packages this MCP installs at runtime. Upgrade or remove the affected dependency.
✅
No credential exfiltration, no sensitive file access, no obfuscation
Static analysis found nothing flowing your secrets to unexpected places.
🔐
You'll be asked for 1 credential: LINKEDIN_CLIENT_SECRET
These are read from process.env at runtime. Make sure you trust where they’ll be sent.
// tools this server exposes16 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.

authenticate

Authenticate with LinkedIn via OAuth 2.0. Opens a browser window for authorization. Must be called before using any other tool.

logout

Clear the stored LinkedIn session tokens.

get_education

Retrieve all education entries from the authenticated user's LinkedIn profile.

add_education

Add a new education entry to the authenticated user's LinkedIn profile.

update_education

Update an existing education entry on the authenticated user's LinkedIn profile.

delete_education

Delete an education entry from the authenticated user's LinkedIn profile.

get_experience

Retrieve all work experience entries from the authenticated user's LinkedIn profile.

add_experience

Add a new work experience entry to the authenticated user's LinkedIn profile.

update_experience

Update an existing work experience entry on the authenticated user's LinkedIn profile.

delete_experience

Delete a work experience entry from the authenticated user's LinkedIn profile.

get_profile

Retrieve the authenticated user's LinkedIn profile: name, headline, about/summary, vanity URL, and email.

update_headline

Update the authenticated user's LinkedIn headline (max 220 characters).

update_about

Update the authenticated user's LinkedIn About / summary section (max 2600 characters).

get_skills

Retrieve all skills listed on the authenticated user's LinkedIn profile.

add_skill

Add a skill to the authenticated user's LinkedIn profile.

remove_skill

Remove a skill from the authenticated user's LinkedIn profile.

// known CVEs in dependencies15 high5 medium10 low

Disclosed vulnerabilities in this server's declared npm dependencies (via OSV). Whether each is reachable depends on the installed versions.

high@modelcontextprotocol/sdk@1.10.1GHSA-345p-7cg4-v4c7

@modelcontextprotocol/sdk has cross-client data leak via shared server/transport instance reuse

high@modelcontextprotocol/sdk@1.10.1GHSA-8r9q-7v3j-jr4g

Anthropic's MCP TypeScript SDK has a ReDoS vulnerability

high@modelcontextprotocol/sdk@1.10.1GHSA-w48q-cv73-mx4w

Model Context Protocol (MCP) TypeScript SDK does not enable DNS rebinding protection by default

highaxios@1.8.4GHSA-35jp-ww65-95wh

axios Vulnerable to Full Man-in-the-Middle via Prototype Pollution Gadget in `config.proxy`

highaxios@1.8.4GHSA-3g43-6gmg-66jw

axios Vulnerable to Credential Theft and Response Hijacking via Prototype Pollution Gadget in Config Merge

Depend on this server? Get alerted when its CVEs change.Watch this server free →
// 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.
configLINKEDIN_CLIENT_IDyour_client_id_here
🔐 secretLINKEDIN_CLIENT_SECRETyour_client_secret_here
configLINKEDIN_REDIRECT_URI"": "http://localhost:3000/callback"
// 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

16/16 tools missing one or more hints — authenticate (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); logout (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint); get_education (missing: readOnlyHint, destructiveHint, idempotentHint, openWorldHint), +13 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

Only 4/16 tool handlers declare input schemas (25%)

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

Tool handlers catch errors

Only 0/16 tool handlers wrap calls in try/catch (0%)

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.

Production dependencies are patched

0 critical, 15 high severity in production deps — @modelcontextprotocol/sdk@1.10.1 (high), @modelcontextprotocol/sdk@1.10.1 (high)

Run npm audit fix, or upgrade the affected packages to a non-vulnerable version.

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 7 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/simbiolabs/linkedit-mcp?variant=verified)](https://m8ven.ai/mcp/simbiolabs/linkedit-mcp)
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commit: 60b7896c266cbe7377f3869bddfa18acd93bdb81
code hash: 9cc03573f20809415a1fae5e877a2eb5287024329efdec597c6101f09b7ca626
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