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Turn any Google Sheet into a CRM (leads, organizations, contacts, activities) from MCP clients. Stateless FastMCP server - HTTP or stdio.

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MCP-Excel — Google Sheets CRM MCP Server

A stateless MCP server that turns any Google Sheet into a 4-entity CRM (Lead, Organization, Contact, Activity). Runs as a standalone HTTP service (FastMCP streamable-HTTP, default port 5002) or over stdio for Claude Desktop and other local MCP hosts — no gateway, no ngrok, no subprocess spawning required.


Architecture

Any MCP host (Claude Desktop, your backend, an agent framework)
  │  HTTP POST /mcp  (JSON-RPC) — or stdio
  ▼
MCP-Excel :5002  (FastMCP streamable-HTTP)
  │  gspread
  ▼
Google Sheets API

Every tool call includes an explicit sheet_id — there is no session state, no "active sheet" variable. Multiple teams can use the same running instance safely because nothing is shared between requests.


Sheet schema (auto-managed)

Four tabs, created on first connection if they don't exist. Existing tabs are used as-is; missing columns are appended without disturbing existing data.

Tab Primary Key Key columns
Lead Lead ID Organization ID, Status, Segment, Opportunity Details, Last Contact Date
Organization Organization ID Organization Name, Industry Domain, Sub Domain, Company Type, Website
Contact Contact ID First Name, Last Name, Organization ID, Designation, Mobile, Email, LinkedIn Profile
Activity Activity ID Lead ID, Organization ID, Contact ID, Activity Type, Activity Sub-Type, Subject, Discussion Summary, Outcome

IDs auto-increment continuing the existing pattern (LD001 → LD002, ACT010 → ACT011). Falls back to UUID if no consistent pattern is found.

Each tab also gets Created At, Updated At, Deleted audit columns appended if they aren't already present.

Headers are matched fuzzily (synonyms and near-duplicates are resolved), so an existing sheet with slightly different column names still works. Run tool_dedupe_headers (dry-run first) to merge genuine duplicate columns.


Setup

1. Google service account

You need a creds.json service account key with Google Sheets API and Google Drive API enabled.

Place it in this directory (the default path) or set GOOGLE_APPLICATION_CREDENTIALS to its full path.

Never commit creds.json to git. It is excluded in .gitignore; keep it local or mount it as a secret.

2. Share the sheet

For each Google Sheet you want to connect: open the sheet → Share → add the service account email as Editor → Done.

The service account email is printed at startup and returned by get_sheet_info on permission errors. It is also readable from creds.json:

python3 -c "import json; print(json.load(open('creds.json'))['client_email'])"

3. Install dependencies

pip install -r requirements.txt

Optional — business-card OCR (Claude Vision) support:

pip install anthropic
export ANTHROPIC_API_KEY=...

Running

Local dev (HTTP on :5002)

GOOGLE_APPLICATION_CREDENTIALS=creds.json python mcp_excel_server.py

Verify it's healthy:

curl -s -X POST http://localhost:5002/mcp \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}' \
  | python3 -m json.tool

Docker (staging / production)

docker build -t mcp-excel .
docker run -p 5002:5002 \
  -v /path/to/creds.json:/secrets/creds.json \
  -e GOOGLE_APPLICATION_CREDENTIALS=/secrets/creds.json \
  mcp-excel

Claude Desktop (stdio transport)

Set MCP_TRANSPORT=stdio to use stdio instead of HTTP:

{
  "mcpServers": {
    "crm": {
      "command": "python",
      "args": ["/path/to/mcp-excel/mcp_excel_server.py"],
      "env": {
        "GOOGLE_APPLICATION_CREDENTIALS": "/path/to/mcp-excel/creds.json",
        "MCP_TRANSPORT": "stdio"
      }
    }
  }
}

Environment variables

Variable Default Notes
GOOGLE_APPLICATION_CREDENTIALS creds.json Path to service account JSON
MCP_TRANSPORT http http for server mode, stdio for Claude Desktop
MCP_PORT 5002 HTTP listen port
ANTHROPIC_API_KEY — Only for tool_extract_business_card

Tools

All tools are stateless — every call requires sheet_id (full Google Sheets URL or bare spreadsheet ID).

Tool Description
tool_get_sheet_info Validate access, ensure all 4 tabs exist, confirm write access
tool_add_record Add a record to Lead / Organization / Contact / Activity
tool_list_records List records with optional column-based filters (paged)
tool_search_records Keyword search across all columns
tool_update_record Update fields on an existing record by primary-key ID
tool_delete_record Soft-delete a record (sets Deleted to true)
tool_get_related_records Look up records via foreign key (e.g. all Activities for a Lead)
tool_get_pipeline_analytics Lead pipeline analytics: total, status breakdown, segment breakdown
tool_dedupe_headers Find and merge duplicate columns (dry-run report first)
tool_extract_business_card Extract contact fields from a business-card image via Claude Vision (needs ANTHROPIC_API_KEY)

Development

pip install pytest
pytest test_mcp_excel.py test_crm_local.py -v

Tests run fully offline (Google calls are mocked); no credentials needed.


Troubleshooting

Problem Fix
status: failure, message: "" Sheet not found — share it with the service account as Editor
Permission denied on sheet Re-share with the service account as Editor (not Viewer)
Cannot connect to MCP-Excel service MCP-Excel not running — start it on :5002
sheet_id is required and was empty Always pass sheet_id — there is no implicit active sheet
Tab not found / wrong columns get_sheet_info auto-creates missing tabs and appends missing columns

License

MIT — see LICENSE. Built by Nife.

About

Turn any Google Sheet into a CRM (leads, organizations, contacts, activities) from MCP clients. Stateless FastMCP server - HTTP or stdio.

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