# mcp-coresignal

> mcp-coresignal — pipeworx-io-mcp-coresignal. Use this tool when you need to access company and employee data from LinkedIn-adjacent sources, or when integrating natural language queries into your workflow. It solves problems related to data retrieval and integration, supporting use cases such as market research and employee profiling. The tool accepts natural language requests as input and provides relevant company and employee data as output through the Pipeworx gateway.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-coresignal  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-coresignal

## Description

Enables AI agents to query LinkedIn-adjacent company and employee data from Coresignal via MCP, supporting natural language requests through the Pipeworx gateway.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/skqaf2sq6k)
- **Repository:** <https://github.com/pipeworx-io/mcp-coresignal>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "pipeworx-io-mcp-coresignal"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-coresignal` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-coresignal/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt