# Cosense

> Use this tool when you need to integrate AI assistants with cosense project data, enabling access to project information and interaction with the cosense platform. It solves problems such as project status reporting, task management, and automated project analysis by providing a simplified interface to cosense's API. The tool takes environment variables as input and outputs project data, making it ideal for project managers, team leads, and AI developers working on productivity tools within the cosense ecosystem.

Canonical page: https://skillsregistry.net/skills/funwarioisii-cosense  
JSON: https://api.skillsregistry.net/v1/skills/funwarioisii-cosense

## Description

This cosense MCP server, developed by funwarioisii, integrates the cosense platform with the Model Context Protocol, enabling AI assistants to access and interact with cosense project data. Built using TypeScript and the @modelcontextprotocol/sdk, it currently offers a 'Get Page' feature for retrieving project information. The server simplifies interaction with cosense's API, allowing AI systems to incorporate project management and collaboration data into their workflows. It supports both public and private cosense projects through configurable environment variables. This implementation is particularly useful for project managers, team leads, and AI developers working on productivity tools, facilitating use cases such as project status reporting, task management, and automated project analysis within the cosense ecosystem.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/funwarioisii-cosense)
- **Repository:** <https://github.com/funwarioisii/cosense-mcp-server>

## 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": "funwarioisii-cosense"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/funwarioisii-cosense` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/funwarioisii-cosense/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