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 3.3/5 across 3 of 3 tools scored.
Each tool targets a distinct resource and action: creating posts, retrieving profiles, and retrieving posts. There is no overlap, making selection unambiguous for agents.
All tool names use a consistent camelCase verb_noun pattern (create, get). The naming is predictable and follows a clear convention throughout.
With 3 tools, the server is minimal but each tool serves a distinct purpose and fits the apparent scope. It is at the lower end of the typical range but not unreasonably thin.
The server covers create and read for posts but lacks update or delete operations. Profile coverage only includes fetching, not searching or updating, leaving notable lifecycle gaps.
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?
The annotations already indicate readOnlyHint=true and destructiveHint=false, which covers the safety profile. However, the description adds no behavioral context beyond the annotations—no mention of what data is returned, any rate limits, authentication needs, or edge cases. It simply restates that it gets profile information.
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 is extremely short and mostly redundant: 'Get person profile' repeats the title, and the rest 'Get basic profile information for a person' adds little new meaning. The structure is not front-loaded with useful differentiating information; it is simply verbose repetition.
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?
With no output schema and an ambiguous target ('a person' – which person? the current user? a specified ID?), the description is not complete enough for an agent to know exactly what data it will receive. It is a very simple tool, but the lack of clarification about which profile is fetched and what 'basic' includes leaves gaps.
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?
There are zero parameters, and the schema coverage is 100% since the schema has no properties. The baseline of 4 applies because there are no parameters to describe, and the description does not need to explain parameter details.
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 clearly states the verb 'get' and the resource 'person profile', and distinguishes it from sibling tools like getSharePosts by indicating it retrieves profile information, not posts. However, the phrase 'basic profile information' is somewhat vague about what fields are included.
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?
The description provides no explicit guidance on when to use this tool versus the siblings (createSharePost, getSharePosts). The context is implied – if you want a person's profile, use this – but there are no clear alternatives, prerequisites, or exclusions stated.
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.
Control your server's listing on Glama, including description and metadata
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Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
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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