topolift-mcp
Exposes TopoLift's atom-grounded negotiation reasoning to MCP-capable agents, providing tools to fetch a negotiation vocabulary and perform structured negotiation with traceable citations.
README
topolift-mcp
MCP server exposing TopoLift's atom-grounded negotiation reasoning to any MCP-capable agent — Claude Code, Cursor, OpenAI Agents SDK, etc.
Listed on the official MCP Registry as
io.github.TopoLift/topolift-mcp.mcp-name: io.github.TopoLift/topolift-mcp
What you get
Two tools:
topolift_dialect— fetches TopoLift's published vocabulary (regimes, canonical strategies, signal keys, citation grammar). Call this once at session start; no auth required.topolift_negotiate— sends a negotiation context to TopoLift's reasoning engine and returns a bilingual response:- A typed
topologyslot (regime,load_bearing_strategies[],bridge_pivots[],topology_signals{}) drawn from a closed vocabulary - Prose fields with inline
[Cluster_X#strategy1,strategy2]citation tokens anchoring every claim to the cluster + load-bearing atoms that drove it
- A typed
Atoms stay on the TopoLift server. What travels is the grammar of the dialect — the vocabulary your agent uses to read structural reasoning.
Install
pip install topolift-mcp
Set your API key (get one at https://topolift.ai):
export TOPOLIFT_API_KEY=tl-...
Claude Code
claude mcp add topolift-negotiation -- topolift-mcp
…or, with the API key inline:
claude mcp add topolift-negotiation -e TOPOLIFT_API_KEY=tl-... -- topolift-mcp
Cursor / Continue / other MCP clients
Add to your MCP config (~/.cursor/mcp.json or equivalent):
{
"mcpServers": {
"topolift-negotiation": {
"command": "topolift-mcp",
"env": {
"TOPOLIFT_API_KEY": "tl-..."
}
}
}
}
Running directly (no install)
TOPOLIFT_API_KEY=tl-... python -m topolift_mcp.server
Configuration
Environment variables:
| Var | Default | Purpose |
|---|---|---|
TOPOLIFT_API_KEY |
(required for negotiate) | Bearer key; get one at https://topolift.ai |
TOPOLIFT_API_URL |
https://api.topolift.ai |
API base URL |
TOPOLIFT_TIMEOUT |
600 |
Negotiate-call timeout in seconds |
TOPOLIFT_LOG_LEVEL |
INFO |
Python logging level |
The dialect tool works without TOPOLIFT_API_KEY — only topolift_negotiate requires it.
Pricing
- Bearer key (this MCP server's path): one-time / monthly plans starting at $50. See https://topolift.ai.
- x402 micropayment: agents can pay $0.10 USDC per call directly against
https://api.topolift.ai/v1/negotiatewith no API key — see the API's 402 challenge for details.
How it works
- Your agent calls
topolift_dialectonce and learns the vocabulary. - Your agent calls
topolift_negotiatewith a scenario. - TopoLift retrieves the most relevant atom clusters from its server-side topology, runs a Mistral-Small-4-119B reasoning pass with a closed-vocabulary prompt, and returns the bilingual response.
- Your agent parses
topologyfor machine-readable structure and reads the prose fields with citation-traceable evidence.
The atoms — the structural primitives — never leave TopoLift's servers. The dialect — the names and the grammar — is published openly so any agent can read structural reasoning fluently.
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.