Comparison
arcade-mcp vs MCPJungle
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 MCPJungle if mCPJungle is a self-hosted Go platform designed for managing and connecting MCP servers within AI agent infrastructure.
Markdown twin · arcade-mcp alternatives · MCPJungle alternatives
GraphCanon updated 4w
vs
Trust & integrity
| Signal | arcade-mcp | MCPJungle |
|---|---|---|
| Maintenance | Very active (0d since push) As of 4w · github_public_v1 | Steady (67d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Organization 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
- MCPJungle
- A platform to manage and connect MCP servers
Stars
- arcade-mcp
- 981
- MCPJungle
- 1.2k
Forks
- arcade-mcp
- 101
- MCPJungle
- 148
Open issues
- arcade-mcp
- 16
- MCPJungle
- 92
Language
- arcade-mcp
- Python
- MCPJungle
- Go
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.
- MCPJungle
- MCPJungle is a self-hosted Go platform designed for managing and connecting MCP servers within AI agent infrastructure.
Persona
- arcade-mcp
- -
- MCPJungle
- -
Runtime
- arcade-mcp
- -
- MCPJungle
- -
License
- arcade-mcp
- MIT
- MCPJungle
- MCPJungle is available under the MPL-2.0 license, which permits changes and reuse but mandates that derivative software retain its open status.
Last pushed
- arcade-mcp
- Jul 26, 2026
- MCPJungle
- May 20, 2026
Categories
- arcade-mcp
- AI Agents
- MCPJungle
- AI Agents
Trust and health
Maintenance
- arcade-mcp
- Very active (96%)
- MCPJungle
- Steady (60%)
Days since push
- arcade-mcp
- 0d
- MCPJungle
- 67d
Open issues (now)
- arcade-mcp
- 16
- MCPJungle
- 92
Full report
- arcade-mcp
- Trust report
- MCPJungle
- Trust report
Choose arcade-mcp if…
- arcade-mcp is primarily Python; MCPJungle is Go.
- License: arcade-mcp is MIT, MCPJungle is MPL-2.0.
- Requirements: Min 4 GB RAM.
- Tags unique to arcade-mcp: ai, 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 MCPJungle if…
- MCPJungle is primarily Go; arcade-mcp is Python.
- License: MCPJungle is MPL-2.0, arcade-mcp is MIT.
- Pricing: The platform can be used freely due to its open-source license, with no explicit premium or commercial tier information provided..
- Requirements: Ensure your environment supports the Go language for compatibility.; MCPJungle is designed specifically for managing MCP servers; other server types may not be compatible without additional support..
- Tags unique to MCPJungle: ai-agents, infrastructure, mcp-server, self-hosted.
- MCPJungle ships Docker support for self-hosted deployment.
- When you require a Go-based solution to manage Model Context Protocol (MCP) servers in your infrastructure, MCPJungle can offer the needed features for self-hosting these servers.
When NOT to use MCPJungle
- Do not use MCPJungle if you do not have an existing environment based on the Model Context Protocol; it adds unnecessary complexity.
- Avoid MCPJungle if your project requires a language other than Go, as its exclusive development in Go might limit flexibility across different stack requirements.
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 (mcpjungle/MCPJungle) · observed Jul 27, 2026
- GitHub forks (mcpjungle/MCPJungle) · observed Jul 27, 2026
- Last push (mcpjungle/MCPJungle) · observed May 20, 2026
- License file (MPL-2.0) · observed Jul 27, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: arcade-mcp 981 · MCPJungle 1.2k (synced Jul 27, 2026).
Common questions
- What is the difference between arcade-mcp and MCPJungle?
- arcade-mcp: MCP Server Framework and Tool Development Library for Custom Agent Capabilities. MCPJungle: A platform to manage and connect MCP servers. See the comparison table for live GitHub stats and shared categories.
- When should I choose arcade-mcp over MCPJungle?
- Choose arcade-mcp over MCPJungle when arcade-mcp is primarily Python; MCPJungle is Go; License: arcade-mcp is MIT, MCPJungle is MPL-2.0; Requirements: Min 4 GB RAM; Tags unique to arcade-mcp: ai, 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 MCPJungle over arcade-mcp?
- Choose MCPJungle over arcade-mcp when MCPJungle is primarily Go; arcade-mcp is Python; License: MCPJungle is MPL-2.0, arcade-mcp is MIT; Pricing: The platform can be used freely due to its open-source license, with no explicit premium or commercial tier information provided.; Requirements: Ensure your environment supports the Go language for compatibility.; MCPJungle is designed specifically for managing MCP servers; other server types may not be compatible without additional support.; Tags unique to MCPJungle: ai-agents, infrastructure, mcp-server, self-hosted; MCPJungle ships Docker support for self-hosted deployment; When you require a Go-based solution to manage Model Context Protocol (MCP) servers in your infrastructure, MCPJungle can offer the needed features for self-hosting these servers.
- 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 MCPJungle?
- Do not use MCPJungle if you do not have an existing environment based on the Model Context Protocol; it adds unnecessary complexity. Avoid MCPJungle if your project requires a language other than Go, as its exclusive development in Go might limit flexibility across different stack requirements.
- Is arcade-mcp or MCPJungle more popular on GitHub?
- MCPJungle has more GitHub stars (1,174 vs 981). Stars measure visibility, not whether either tool fits your constraints.
- Are arcade-mcp and MCPJungle open source?
- Yes - both are open-source projects on GitHub (arcade-mcp: MIT, MCPJungle: MPL-2.0).
- Where can I find alternatives to arcade-mcp or MCPJungle?
- GraphCanon lists graph-backed alternatives at arcade-mcp alternatives and MCPJungle alternatives (arcade-mcp markdown twin, MCPJungle 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 MCPJungle?
- arcade-mcp: Very active. MCPJungle: Steady. 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 MCPJungle?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: arcade-mcp trust report; MCPJungle trust report.