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poly-mcp
polymcp
HISTORICAL RECORD2025–2026
poly-mcp / polymcp · Not publicly available

polymcp

Discover this repository through its Hacker News conversations.

AI & Machine LearningSystems & Infrastructure
Explore on GitHubRead Hacker News discussions
2Distinct people
26Mentions
0Explicit recommenders
REPOSITORY AT A GLANCE

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What it is

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Where it is used

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What people are saying

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No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

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This week on Hacker News

Nov 8–Nov 15 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/15/2026, 9:28:18 AM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by week26 dated mentions

Observed mentions: 2025-11-29 15:28:11 UTC to 2026-02-19 22:07:49 UTC. Weeks start Monday, UTC.

02462025-11-24 00:00:00 UTC to 2025-12-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsNov 242025-12-01 00:00:00 UTC to 2025-12-08 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-08 00:00:00 UTC to 2025-12-15 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-15 00:00:00 UTC to 2025-12-22 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-22 00:00:00 UTC to 2025-12-29 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2025-12-29 00:00:00 UTC to 2026-01-05 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2026-01-05 00:00:00 UTC to 2026-01-12 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsJan 52026-01-12 00:00:00 UTC to 2026-01-19 00:00:00 UTC (exclusive): 4 mentions; 4 submissions, 0 comments2026-01-19 00:00:00 UTC to 2026-01-26 00:00:00 UTC (exclusive): 5 mentions; 5 submissions, 0 comments2026-01-26 00:00:00 UTC to 2026-02-02 00:00:00 UTC (exclusive): 4 mentions; 4 submissions, 0 comments2026-02-02 00:00:00 UTC to 2026-02-09 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2026-02-09 00:00:00 UTC to 2026-02-16 00:00:00 UTC (exclusive): 7 mentions; 6 submissions, 1 comments2026-02-16 00:00:00 UTC to 2026-02-23 00:00:00 UTC (exclusive): 3 mentions; 3 submissions, 0 commentsFeb 16

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Nov 242025-11-24 00:00:00 UTC2025-12-01 00:00:00 UTC110
Dec 12025-12-01 00:00:00 UTC2025-12-08 00:00:00 UTC000
Dec 82025-12-08 00:00:00 UTC2025-12-15 00:00:00 UTC000
Dec 152025-12-15 00:00:00 UTC2025-12-22 00:00:00 UTC000
Dec 222025-12-22 00:00:00 UTC2025-12-29 00:00:00 UTC000
Dec 292025-12-29 00:00:00 UTC2026-01-05 00:00:00 UTC101
Jan 52026-01-05 00:00:00 UTC2026-01-12 00:00:00 UTC000
Jan 122026-01-12 00:00:00 UTC2026-01-19 00:00:00 UTC440
Jan 192026-01-19 00:00:00 UTC2026-01-26 00:00:00 UTC550
Jan 262026-01-26 00:00:00 UTC2026-02-02 00:00:00 UTC440
Feb 22026-02-02 00:00:00 UTC2026-02-09 00:00:00 UTC110
Feb 92026-02-09 00:00:00 UTC2026-02-16 00:00:00 UTC761
Feb 162026-02-16 00:00:00 UTC2026-02-23 00:00:00 UTC330

What Hacker News says

3 sources
justvugg·Feb 19, 2026Submission

Show HN:PolyMCP Python Tools with Autonomous Agents

PolyMCP is a framework that exposes functions (in Python or TypeScript) as MCP tools, serves them through standardized MCP servers, and orchestrates them with autonomous agents capable of planning and executing complex workflows. With PolyMCP, you can: 1. Expose existing functions (in Python or TypeScript) as MCP tools without rewriting the code. 2. Use the PolyClaw agent to dynamically orchestrate tools, break down complex tasks, and adapt to failures, all running in isolated environments via Docker. PolyMCP is ideal for enterprise automation, DevOps, data pipelines, and internal tool orchestration. GitHub Repo: https://github.com/poly-mcp/PolyMCP
1 points · Open discussion
justvugg·Feb 17, 2026Submission

Show HN: PolyClaw – Autonomous Docker-First MCP Agent for PolyMCP

I built PolyClaw, an autonomous agent for the PolyMCP ecosystem inspired by OpenClaw. PolyClaw doesn’t just call tools. It plans, executes, adapts — and even creates MCP servers when needed. It’s designed for real-world, multi-step production workflows where an agent must: • Orchestrate multiple tools • Spin up infrastructure dynamically • Recover from failures • Deliver complete, end-to-end results ⸻ What PolyClaw Does • Decomposes complex tasks into executable steps • Dynamically selects and orchestrates MCP tools • Spins up or connects to MCP servers on demand • Adapts if execution fails or context changes • Validates outputs before proceeding • Runs Docker-first for isolation and safety • Built with Python + TypeScript PolyClaw is not just a tool-caller — it’s an infrastructure-aware agent. ⸻ Run PolyClaw (via PolyMCP CLI)
Read the rest
polymcp agent run \ --type polyclaw \ --query "Build a sales reporting pipeline and test it end-to-end" \ --model minimax-m2.5:cloud \ --verbose What happens behind the scenes: 1. The task is decomposed into structured steps 2. Required MCP tools are identified 3. MCP servers are started or connected 4. Steps execute (sequentially or in parallel) 5. Outputs are validated 6. Failures trigger adaptive replanning 7. A complete, end-to-end result is returned All containerized. All isolated. ⸻ Why This Matters Most AI agents today: • Call tools statically • Assume infrastructure already exists • Break on multi-step failures PolyClaw instead: • Builds the infrastructure it needs • Orchestrates across multiple MCP servers • Handles retries and adaptive planning • Is safe to run in Dockerized environments This makes it viable for: • Enterprise workflows • DevOps automation • Data pipelines • Internal tooling orchestration • Complex multi-tool reasoning tasks PolyClaw turns PolyMCP from simple tool exposure into a fully autonomous orchestration layer. Repo: https://github.com/poly-mcp/PolyMCP Happy to answer questions.
1 points · Open discussion
justvugg·Feb 16, 2026Submission

Show HN: PolyClaw – An Autonomous Docker-First MCP Agent for PolyMCP

I built PolyClaw, an OpenClaw-inspired autonomous agent for the PolyMCP ecosystem. PolyClaw doesn’t just call tools. It plans, executes, adapts — and creates MCP servers when needed. It’s designed for real multi-step, production workflows where agents must orchestrate tools, spin up infrastructure, recover from errors, and deliver complete results end-to-end. ⸻ What PolyClaw Does • Plans complex multi-step tasks • Executes and orchestrates MCP tools dynamically • Adapts when steps fail or context changes • Creates and connects MCP servers on the fly • Runs Docker-first for safety and isolation • Built with Python and TypeScript PolyClaw is not just a tool caller — it’s an infrastructure-aware agent. ⸻ Run PolyClaw with Ollama You can launch PolyClaw directly from the PolyMCP CLI: polymcp agent run \ --type polyclaw \ --query "Bu
Read the rest
ild a sales reporting pipeline and test it end-to-end" \ --model minimax-m2.5:cloud \ --verbose What happens behind the scenes: 1. The agent decomposes the task. 2. It determines which MCP tools are required. 3. It spins up or connects to MCP servers. 4. It executes steps in sequence (or parallel when needed). 5. It validates outputs. 6. It adapts if something fails. 7. It returns a complete result. All containerized. All isolated. ⸻ Why This Matters Most AI agents: • Call tools statically • Assume infrastructure already exists • Break on multi-step failure PolyClaw: • Builds the infrastructure it needs • Orchestrates across multiple MCP servers • Handles retries and adaptive planning • Is safe to run in Dockerized environments This makes it viable for: • Enterprise workflows • DevOps automation • Data pipelines • Internal tooling orchestration • Complex multi-tool reasoning tasks PolyClaw turns PolyMCP from simple tool exposure only with Polyagent e unifiendpolyagent or codeagent but turn into full autonomous orchestration agent too. Repo: https://github.com/poly-mcp/PolyMCP Happy to answer questions,
1 points · Open discussion

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