Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add rules/0xchron/polymarket-mcp/project-overviewgit clone --depth 1 https://github.com/0xChron/polymarket-mcpWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00297 | $0.00297 |
| Opus 5 | $0.00148 | $0.00148 |
| Sonnet 5 | $0.00059 | $0.00059 |
| Haiku 4.5 | $0.00030 | $0.00030 |
Grade A, and why
project-overview scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Polymarket MCP
Python MCP server exposing Polymarket prediction market data to AI agents via read-only Gamma and Data APIs. No CLOB/trading integration.
Architecture Layers
server.py— FastMCP instance,main(), registration importstools/*.py— MCP tool handlers (orchestration, param building, parallel requests)resources.py/prompts.py— static resources and workflow promptsconfig.py—Settings, annotations, instructions, and API URL constantsutils/helpers.py— HTTP transport (get) and MCP wrappers (text,err)utils/formatters.py— Pure functions: API JSON → markdown for agents
API Boundaries
- Gamma (
gamma_url): market search, market details by slug - Data (
data_url): user positions, portfolio value, leaderboard
Key Constraints
- Read-only; no order placement or wallet signing
- Transport:
streamable-httpon port 8000 - Python 3.12+, package manager is
uvonly - Flat imports (
from polymarket_mcp.config import Settings) — package is installed viauv sync
See docs/PROJECT_KNOWLEDGE_BASE.md for full onboarding reference.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 32 lines · 297 tokens per session scan A 4d65b854aa34
project-overview is a cursor rule published in the GitHub repository 0xChron/polymarket-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 297 tokens to every session, about $0.0015 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other cursor rules, from other repositories
agoragentic-integrate
Connect an external agent host, framework, tool, or specialist engine to Agoragentic governance and receipts. Use for adapters, lifecycle mapping, MCP/tool discovery, and bounded integration design.
cursorrules
This repo has a GraphPilot structural code-graph available via MCP. Use it before grep on structural questions.
qa-agent
QA workflow for reviewing stories, designing tests, and reporting verified defects.
swift-development
Swift development: SwiftUI, Combine, async/await, iOS patterns, and Apple platform conventions.
clarify-first-prompting
Clarify-first strategy: detect ambiguity, ask targeted questions, expand simple prompts into detailed specifications.
cursorrules
When the user asks about social media, use social-media-ai-mcp tools: schedulepost, generatehashtags, analyzeengagement, plancontentcalendar, getaudienceinsights.