toad-mcp-server
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@toad-mcp-server search for documents about authentication"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
toad-mcp-server
š MCP server exposing portfolio AI tools via Model Context Protocol. Connect to Claude Desktop and call Semantic Search, Eval Framework, and Prompt Management tools directly from chat.
šļø Architecture
āāāāāāāāāāāāāāāāāāāāāāā stdio / HTTP āāāāāāāāāāāāāāāāāāāāāāāāāāāā
ā Claude Desktop āāāāāāāāāāāāāāāāāā-āāāŗā toad-mcp-server ā
ā (MCP Client) ā ā ā
āāāāāāāāāāāāāāāāāāāāāāā ā āāāāāāāāāāāāāāāāāāāāāā ā
ā ā toad_search_docs āāāā¼āāāŗ Semantic Search API
ā āāāāāāāāāāāāāāāāāāāāā⤠ā
ā ā toad_run_eval āāāā¼āāāŗ Eval Framework API
ā āāāāāāāāāāāāāāāāāāāāā⤠ā
ā ā toad_system_status āāāā¼āāāŗ Health checks
ā āāāāāāāāāāāāāāāā-āāāā⤠ā
ā ā toad_list_prompts ā ā
ā āāāāāāāāāāāāāāāāāāāāā⤠ā
ā ā toad_get_prompt ā ā
ā āāāāāāāāāāāāāāāāāāāāāā ā
āāāāāāāāāāāāāāāāāāāāāāāāāāāāRelated MCP server: claude-rag-mcp
š ļø Tools
Tool | Description | Read-only |
| Semantic search over documents via natural language query | Yes |
| Run eval suite against a prompt variant, returns scores | No |
| Health check all portfolio services (latency, status) | Yes |
| List prompts with pagination and tag filtering | Yes |
| Get prompt by name with version, template, score history | Yes |
All tools support response_format: "markdown" | "json" where applicable.
š¦ Resources
URI | Description |
| Health status of all services (JSON) |
| Get prompt by name with full metadata (JSON) |
š Quick Start
# Install
npm install
# Build
npm run build
# Run (stdio ā for Claude Desktop)
npm start
# Run (HTTP ā for remote/multi-client access)
TRANSPORT=http npm start
# Dev mode
npm run devš„ļø Claude Desktop Setup
Build the server:
npm run buildAdd to your Claude Desktop config (
~/Library/Application Support/Claude/claude_desktop_config.jsonon macOS):{ "mcpServers": { "toad-mcp-server": { "command": "node", "args": ["dist/index.js"], "cwd": "/absolute/path/to/toad-mcp-server", "env": { "SEMANTIC_SEARCH_URL": "http://localhost:3001", "EVAL_FRAMEWORK_URL": "http://localhost:3002" } } } }Restart Claude Desktop ā tools appear automatically.
š Testing with MCP Inspector
npx @modelcontextprotocol/inspector node dist/index.jsOpens a web UI to test each tool interactively.
āļø Environment Variables
Variable | Default | Description |
|
| Semantic Search Engine endpoint |
|
| Eval Framework endpoint |
|
| Transport mode: |
|
| HTTP transport port |
|
| HTTP transport bind address |
š Scripts
Script | Description |
| Compile TypeScript to |
| Run with tsx (hot reload) |
| Run compiled server |
| ESLint check |
| Prettier format |
š§± Tech Stack
TypeScript (NodeNext, strict)
@modelcontextprotocol/sdk ā MCP server SDK
Zod v4 ā input validation
ESLint + Prettier + Husky ā code quality
GitHub Actions ā CI (lint ā format ā build)
š License
ISC
Available Tools
5 toolstoad_get_promptARead-onlyIdempotent
Get a specific prompt by name with full metadata including version, score history, and template content.
Inputs: name (required), response_format.
toad_list_promptsARead-onlyIdempotent
List available prompts from the Prompt Registry. Supports pagination and optional filtering by tag.
Inputs: tag, limit, offset, response_format.
toad_run_evalAIdempotent
Run an evaluation suite from the Eval Framework. Executes test cases against a prompt variant and returns scores and pass/fail results.
Inputs: suite (required), variant.
toad_search_documentsARead-onlyIdempotent
Search documents using semantic similarity. Connects to the Semantic Search Engine to find relevant documents based on a natural language query.
Inputs: query (required), limit.
toad_system_statusARead-onlyIdempotent
Check health of all portfolio services: Semantic Search API and Eval Framework. Returns status, latency, and error details for each component.
Inputs: no named parameters.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelogā¦
TDQS
Scored across 5 tools
Each tool targets a distinct capability: semantic search, eval execution, system health, prompt listing, and prompt detail retrieval. The relationship between list_prompts and get_prompt is complementary rather than ambiguous.
All tools follow the same `toad_` prefix with a clear verb_noun pattern: search_documents, run_eval, system_status, list_prompts, get_prompt. This makes the toolset highly predictable.
Five tools is well-scoped for a specialized server covering search, evaluation, system health, and prompt registry access. Each tool earns its place without redundant or unnecessary entries.
The server supports read/search/run workflows, but lacks prompt registry write operations (create/update/delete) and any way to list available eval suites. Agents may encounter dead ends when trying to discover eval inputs or manage prompt lifecycle.
Maintenance
Related MCP Connectors
MCP server unifying ERPs, CRMs, APIs and knowledge base for Claude, ChatGPT and Gemini.
One MCP server for the services your AI needs: memory, files, Microsoft 365, kanban and more.
MCP server for your apps' tools and custom tools, plus hosted AI agents and approval-gated workflows
MCP-Native LLM Orchestration Agent
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceAI-powered MCP server that enables Claude and other LLMs to interact directly with construction documents, drawings, and specifications through advanced RAG and hybrid search capabilities.8MIT
- AlicenseNot gradedqualityDmaintenanceMCP server providing RAG context and failure capture for Claude Code, enabling semantic search across project knowledge and storing/analyzing failures.1MIT
- AlicenseBqualityDmaintenanceEnables AI-driven semantic code search via natural language queries, integrating with MCP clients like Claude Desktop to retrieve relevant code context from any codebase.1MIT
- AlicenseAqualityBmaintenanceAn MCP server that exposes an AI project portfolio as queryable tools, allowing users to ask about projects, search by technology, or get details via natural language.557 PyPI1MIT