Comparison
arcade-mcp vs pi-mcp-adapter
Verdict
Pick arcade-mcp if arcade-MCP is an MCP Server Framework and Tool Development Library specifically built for incorporating custom capabilities into AI agents using the Model Context Protocol; pick pi-mcp-adapter if pi-mcp-adapter is a TypeScript-based MCP adapter tailored for efficient token usage with Pi, an AI coding assistant.
Markdown twin · arcade-mcp alternatives · pi-mcp-adapter alternatives
GraphCanon updated 4w
vs
Trust & integrity
| Signal | arcade-mcp | pi-mcp-adapter |
|---|---|---|
| Maintenance | Very active (0d since push) As of 4w · github_public_v1 | Very active (1d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Personal account As of 4w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- arcade-mcp
- MCP Server Framework and Tool Development Library for Custom Agent Capabilities
- pi-mcp-adapter
- Token-efficient MCP adapter for Pi coding agent
Stars
- arcade-mcp
- 981
- pi-mcp-adapter
- 1.1k
Forks
- arcade-mcp
- 101
- pi-mcp-adapter
- 221
Open issues
- arcade-mcp
- 16
- pi-mcp-adapter
- 4
Language
- arcade-mcp
- Python
- pi-mcp-adapter
- TypeScript
Adopt for
- arcade-mcp
- Arcade-MCP is an MCP Server Framework and Tool Development Library specifically built for incorporating custom capabilities into AI agents using the Model Context Protocol.
- pi-mcp-adapter
- pi-mcp-adapter is a TypeScript-based MCP adapter tailored for efficient token usage with Pi, an AI coding assistant.
Persona
- arcade-mcp
- -
- pi-mcp-adapter
- -
Runtime
- arcade-mcp
- -
- pi-mcp-adapter
- -
License
- arcade-mcp
- MIT
- pi-mcp-adapter
- Licensed under MIT
Last pushed
- arcade-mcp
- Jul 26, 2026
- pi-mcp-adapter
- Jul 25, 2026
Categories
- arcade-mcp
- AI Agents
- pi-mcp-adapter
- AI Agents
Trust and health
Days since push
- arcade-mcp
- 0d
- pi-mcp-adapter
- 1d
Open issues (now)
- arcade-mcp
- 16
- pi-mcp-adapter
- 4
Owner type
- arcade-mcp
- Organization
- pi-mcp-adapter
- User
Full report
- arcade-mcp
- Trust report
- pi-mcp-adapter
- Trust report
Choose arcade-mcp if…
- arcade-mcp is primarily Python; pi-mcp-adapter is TypeScript.
- Requirements: Min 4 GB RAM.
- Tags unique to arcade-mcp: arcade-ai, mcp-framework, python.
- When you need to build detailed, custom interactions between your AI agent and a structured environment that requires specific context management capabilities through the MCP protocol.
When NOT to use arcade-mcp
- If your project does not involve interaction with an environment that relies on the Model Context Protocol for its core functionality, Arcade-MCP may offer unnecessary complexity.
- When working in environments where direct support and integration of tools are crucial, arcade-mcp might have less support compared to more mainstream AI agent frameworks.
Choose pi-mcp-adapter if…
- pi-mcp-adapter is primarily TypeScript; arcade-mcp is Python.
- Requirements: pi-mcp-adapter operates in a TypeScript environment and requires that the project already supports TypeScript..
- Tags unique to pi-mcp-adapter: claude, coding-agent, extension, llm.
- pi-mcp-adapter ships an MCP server manifest.
- Use when working with Pi, the AI coding assistant, to optimize token efficiency within Model Context Protocol environments.
When NOT to use pi-mcp-adapter
- Avoid if your project does not align with TypeScript or the Model Context Protocol framework as pi-mcp-adapter is specifically tailored for these contexts.
- Do not use when working on projects that do not involve Pi coding assistant, as its functionalities are directly tied to this specific AI tool.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (ArcadeAI/arcade-mcp) · observed Jul 27, 2026
- GitHub forks (ArcadeAI/arcade-mcp) · observed Jul 27, 2026
- Last push (ArcadeAI/arcade-mcp) · observed Jul 26, 2026
- License file (MIT) · observed Jul 27, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (nicobailon/pi-mcp-adapter) · observed Jul 27, 2026
- GitHub forks (nicobailon/pi-mcp-adapter) · observed Jul 27, 2026
- Last push (nicobailon/pi-mcp-adapter) · observed Jul 25, 2026
- License file (MIT) · observed Jul 27, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: arcade-mcp 981 · pi-mcp-adapter 1.1k (synced Jul 27, 2026).
Common questions
- What is the difference between arcade-mcp and pi-mcp-adapter?
- arcade-mcp: MCP Server Framework and Tool Development Library for Custom Agent Capabilities. pi-mcp-adapter: Token-efficient MCP adapter for Pi coding agent. See the comparison table for live GitHub stats and shared categories.
- When should I choose arcade-mcp over pi-mcp-adapter?
- Choose arcade-mcp over pi-mcp-adapter when arcade-mcp is primarily Python; pi-mcp-adapter is TypeScript; Requirements: Min 4 GB RAM; Tags unique to arcade-mcp: arcade-ai, mcp-framework, python; When you need to build detailed, custom interactions between your AI agent and a structured environment that requires specific context management capabilities through the MCP protocol.
- When should I choose pi-mcp-adapter over arcade-mcp?
- Choose pi-mcp-adapter over arcade-mcp when pi-mcp-adapter is primarily TypeScript; arcade-mcp is Python; Requirements: pi-mcp-adapter operates in a TypeScript environment and requires that the project already supports TypeScript.; Tags unique to pi-mcp-adapter: claude, coding-agent, extension, llm; pi-mcp-adapter ships an MCP server manifest; Use when working with Pi, the AI coding assistant, to optimize token efficiency within Model Context Protocol environments.
- When should I avoid arcade-mcp?
- If your project does not involve interaction with an environment that relies on the Model Context Protocol for its core functionality, Arcade-MCP may offer unnecessary complexity. When working in environments where direct support and integration of tools are crucial, arcade-mcp might have less support compared to more mainstream AI agent frameworks.
- When should I avoid pi-mcp-adapter?
- Avoid if your project does not align with TypeScript or the Model Context Protocol framework as pi-mcp-adapter is specifically tailored for these contexts. Do not use when working on projects that do not involve Pi coding assistant, as its functionalities are directly tied to this specific AI tool.
- Is arcade-mcp or pi-mcp-adapter more popular on GitHub?
- pi-mcp-adapter has more GitHub stars (1,072 vs 981). Stars measure visibility, not whether either tool fits your constraints.
- Are arcade-mcp and pi-mcp-adapter open source?
- Yes - both are open-source projects on GitHub (arcade-mcp: MIT, pi-mcp-adapter: MIT).
- Where can I find alternatives to arcade-mcp or pi-mcp-adapter?
- GraphCanon lists graph-backed alternatives at arcade-mcp alternatives and pi-mcp-adapter alternatives (arcade-mcp markdown twin, pi-mcp-adapter markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, arcade-mcp or pi-mcp-adapter?
- arcade-mcp: Very active. pi-mcp-adapter: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for arcade-mcp and pi-mcp-adapter?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: arcade-mcp trust report; pi-mcp-adapter trust report.