Skip to main content
Glama
timescale

Tiger Salesforce MCP Server

by timescale
OverviewSchemaRelated ServersScoreDiscussions
TypeScript
Hybrid

Tiger Salesforce MCP Server

A wrapper around our Salesforce database, which contains embedded case summaries. This provides some focused tools to LLMs via the Model Context Protocol.

The raw data is sourced from Salesforce via a Fivetran connection. This populates a schema in a TimescaleDB database. A separate process generates LLM summaries of the support cases, and then embeddings of those summaries. This service searches those summaries.

API

All methods are exposed as MCP tools and REST API endpoints.

Salesforce Case Summary Semantic Search

Searches the Salesforce case summaries for relevant entries based on a semantic embedding of the search prompt.

Tool name : semanticSearchSalesforceCaseSummaries

API endpoint : GET /api/semantic-search/salesforce-case-summaries

Input

(use query parameters for REST API)

{
  "prompt": "Why can't I connect to my database?",
  "limit": 10, // optional, default is 10
}

Output

{
  "results": [
    {
      "case_id": "500Nv000005HMfaIAG",
      "summary": "# Some content ...",
      "distance": 0.40739564321624144,
    },
    // more results...
  ],
}

Related MCP server: Fast Context MCP

Development

Cloning and running the server locally.

git clone git@github.com:timescale/tiger-salesforce-mcp-server.git

Building

Run npm i to install dependencies and build the project. Use npm run watch to rebuild on changes.

Create a .env file based on the .env.sample file.

cp .env.sample .env

Testing

The MCP Inspector is very handy.

npm run inspector

Field

Value

Transport Type

STDIO

Command

node

Arguments

dist/index.js

Testing in Claude Desktop

Create/edit the file ~/Library/Application Support/Claude/claude_desktop_config.json to add an entry like the following, making sure to use the absolute path to your local tiger-salesforce-mcp-server project, and real database credentials.

{
  "mcpServers": {
    "tiger-salesforce": {
      "command": "node",
      "args": [
        "/absolute/path/to/tiger-salesforce-mcp-server/dist/index.js",
        "stdio"
      ],
      "env": {
        "PGHOST": "x.y.tsdb.cloud.timescale.com",
        "PGDATABASE": "tsdb",
        "PGPORT": "32467",
        "PGUSER": "readonly_mcp_user",
        "PGPASSWORD": "abc123",
        "OPENAI_API_KEY": "sk-svcacct"
      }
    }
  }
}

Deployment

We use a Helm chart to deploy to Kubernetes. See the chart/ directory for details.

The service is accessible to other services in the cluster via the DNS name tiger-salesforce-mcp-server.savannah-system.svc.cluster.local.

Secrets

Run the following to create the necessary sealed secrets. Be sure to fill in the correct values.

kubectl -n savannah-system create secret generic tiger-salesforce-mcp-server-database \
  --dry-run=client \
  --from-literal=user="readonly_mcp_user" \
  --from-literal=password="abc123" \
  --from-literal=database="tsdb" \
  --from-literal=host="x.y.tsdb.cloud.timescale.com" \
  --from-literal=port="34240" \
  -o yaml | kubeseal -o yaml

kubectl -n savannah-system create secret generic tiger-salesforce-mcp-server-openai \
  --dry-run=client \
  --from-literal=apiKey="sk-svcacct-" \
  -o yaml | kubeseal -o yaml

kubectl -n savannah-system create secret generic tiger-salesforce-mcp-server-logfire \
  --dry-run=client \
  --from-literal=token="pylf_v1_us_" \
  -o yaml | kubeseal -o yaml

kubectl -n savannah-system create secret generic tiger-salesforce-mcp-server-tailscale \
  --dry-run=client \
  --from-literal=authkey="tskey-auth-" \
  -o yaml | kubeseal -o yaml

Update ./chart/values/dev.yaml with the output.

This server cannot be installed

A
license - permissive license
-
quality - not tested
B
maintenance

How are these scores calculated?

Maintenance

–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

  • code-search

    amolchanov
    A
    license
    -
    quality
    D
    maintenance
    Enables semantic code search across indexed code folders using vector embeddings, with support for multiple embedding providers and automatic file watching. Provides an admin UI and integrates with MCP clients for natural language code queries.
    Last updated
    MIT

View all related MCP servers

Related MCP Connectors

  • mcp-server

    Apple Developer Documentation with Semantic Search, RAG, and AI reranking for MCP clients

  • Prowlo — Reddit & X for AI agents

    Reddit & X data for AI agents over MCP. Semantic search, hosted, no Reddit API.

  • Lawstronaut

    Connect AI to millions of laws and court cases with the Lawstronaut MCP.

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/timescale/tiger-salesforce-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server