# Graph CRM MCP Server

> Graph CRM MCP Server — sriramsv-graph-crm. Use this tool when you need to integrate AI assistants with personal customer relationship management (CRM) systems, enabling them to access and update contact information, relationships, and interactions via a graph-based API. This tool solves problems related to data synchronization and automation in CRM systems, allowing for seamless communication between AI agents and CRM data. It accepts API requests as input and returns graph-based data as output, ideal for use cases involving AI-driven customer management and automation.

Canonical page: https://skillsregistry.net/skills/sriramsv-graph-crm  
JSON: https://api.skillsregistry.net/v1/skills/sriramsv-graph-crm

## Description

Enables AI assistants like Claude to read and write contacts, relationships, and interactions in a personal CRM via a graph-based API.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/vii0z05mud)
- **Repository:** <https://github.com/sriramsv/graph-crm>

## 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": "sriramsv-graph-crm"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sriramsv-graph-crm` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sriramsv-graph-crm/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