LinkedIn MCP Server
Server Details
LinkedIn API as MCP tools to retrieve profile data and publish content. Powered by HAPI MCP.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- la-rebelion/hapimcp
- GitHub Stars
- 7
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 2.5/5 across 3 of 3 tools scored.
Each tool has a clearly distinct purpose: createSharePost creates posts, getPersonProfile retrieves profile data, and getSharePosts retrieves posts. There is no overlap in functionality, making it easy for an agent to select the correct tool without confusion.
The naming is mixed: createSharePost uses camelCase, while getPersonProfile and getSharePosts use a verb_noun pattern but with inconsistent casing. This deviation reduces predictability, though the tools remain readable.
With only 3 tools, the server feels thin for a LinkedIn integration. It lacks essential operations like updating or deleting posts, searching profiles, or handling connections, which limits its utility for typical agent workflows.
The tool surface is significantly incomplete for a LinkedIn domain. It covers basic post creation and retrieval and profile fetching, but misses critical operations such as updating posts, deleting content, searching profiles, managing connections, or interacting with messages and notifications.
Available Tools
3 toolsgetPersonProfileGet person profileCRead-onlyInspect
Get person profile - Get basic profile information for a person
| Name | Required | Description | Default |
|---|---|---|---|
No parameters | |||
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already establish read-only, non-destructive safety (readOnlyHint=true, destructiveHint=false). The description adds the scope qualifier 'basic' regarding what profile information is returned, providing minimal but valid behavioral context about the data payload without contradicting annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description 'Get person profile - Get basic profile information for a person' is structurally wasteful, essentially repeating the same action twice with minor variation. While brief, the redundancy means not every clause earns its place, and it could be condensed to a single clause without losing meaning.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a zero-parameter tool with no output schema, the description fails to explain the critical mechanism of resource identification—specifically, how the tool determines which person's profile to retrieve (e.g., current authenticated user). This omission leaves a significant functional gap despite the operation's apparent simplicity.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema contains zero parameters. Per the scoring rules, a tool with 0 parameters receives a baseline score of 4. The description is not expected to add parameter semantics when none exist.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description states the tool retrieves 'basic profile information for a person' which adds slight specificity ('basic') beyond the tool name, but remains vague regarding which person is targeted given the lack of input parameters. It avoids being a complete tautology (like 'Gets the profile') but lacks the specificity to distinguish resource scope clearly.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus its siblings (createSharePost, getSharePosts) or under what circumstances an agent should retrieve a person profile. There are no exclusions, prerequisites, or alternative selection criteria mentioned.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
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