dgenio/ChainWeaver
Deterministic MCP tool flows for AI agents. Remove unnecessary LLM calls between predictable tool steps.
Compiles deterministic tool chains into schema-validated, LLM-free executable flows using Pydantic-enforced input/output validation and explicit step mappings. Eliminates intermediate LLM calls in predictable sequences (e.g., `fetch → transform → store`), reducing latency, cost, and routing non-determinism while providing structured execution logs per tool invocation. Targets AI agent frameworks via a registry-based architecture that wires MCP tools and flows together without requiring language model intervention between steps.
Available on PyPI.
Stars
4
Forks
1
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 09, 2026
Monthly downloads
255
Commits (30d)
0
Dependencies
1
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/mcp/dgenio/ChainWeaver"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related servers
activepieces/activepieces
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation /...
evalstate/fast-agent
Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP Support
flytohub/flyto-core
The open-source execution engine for AI agents. 412 modules, MCP-native, triggers, queue,...
Klavis-AI/klavis
Klavis AI (YC X25): MCP integration platforms that let AI agents use tools reliably at any scale
Azure-Samples/AI-Gateway
Labs to explore AI Models, MCP servers, and Agents with the AI Gateway powered by Azure API...