Comparison
Agent-Reach vs awesome-mcp-servers
Verdict
Pick Agent-Reach when tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude code; pick awesome-mcp-servers when tags unique to awesome-mcp-servers: ai, mcp.
Markdown twin · Agent-Reach alternatives · awesome-mcp-servers alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | Agent-Reach | awesome-mcp-servers |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Very active (6d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No MCP manifest As of today · mcp_manifest | No MCP manifest As of today · mcp_manifest |
Tagline
- Agent-Reach
- Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
- awesome-mcp-servers
- A collection of MCP servers.
Stars
- Agent-Reach
- 55k
- awesome-mcp-servers
- 91k
Forks
- Agent-Reach
- 4.5k
- awesome-mcp-servers
- 13k
Open issues
- Agent-Reach
- 144
- awesome-mcp-servers
- 2.6k
Language
- Agent-Reach
- Python
- awesome-mcp-servers
- -
Adopt for
- Agent-Reach
- -
- awesome-mcp-servers
- -
Persona
- Agent-Reach
- -
- awesome-mcp-servers
- -
Runtime
- Agent-Reach
- -
- awesome-mcp-servers
- -
License
- Agent-Reach
- MIT
- awesome-mcp-servers
- MIT
Last pushed
- Agent-Reach
- Jul 10, 2026
- awesome-mcp-servers
- Jul 4, 2026
Categories
- Agent-Reach
- AI Agents, LLM Frameworks, Developer Tools
- awesome-mcp-servers
- Developer Tools
Trust and health
Days since push
- Agent-Reach
- 0d
- awesome-mcp-servers
- 6d
Open issues (now)
- Agent-Reach
- 144
- awesome-mcp-servers
- 2.6k
Full report
- Agent-Reach
- Trust report
- awesome-mcp-servers
- Trust report
Choose Agent-Reach if…
- Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude code.
- Also covers AI Agents, LLM Frameworks.
- More recently updated (last pushed Jul 10, 2026).
When NOT to use Agent-Reach
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Panniantong/Agent-Reach) · observed Jul 11, 2026
- GitHub forks (Panniantong/Agent-Reach) · observed Jul 11, 2026
- Last push (Panniantong/Agent-Reach) · observed Jul 10, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (punkpeye/awesome-mcp-servers) · observed Jul 11, 2026
- GitHub forks (punkpeye/awesome-mcp-servers) · observed Jul 11, 2026
- Last push (punkpeye/awesome-mcp-servers) · observed Jul 4, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Agent-Reach 55k · awesome-mcp-servers 91k (synced Jul 11, 2026).
Common questions
- What is the difference between Agent-Reach and awesome-mcp-servers?
- Agent-Reach: Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.. awesome-mcp-servers: A collection of MCP servers.. See the comparison table for live GitHub stats and shared categories.
- When should I choose Agent-Reach over awesome-mcp-servers?
- Choose Agent-Reach over awesome-mcp-servers when Tags unique to Agent-Reach: agent-infrastructure, ai-search, bilibili, claude code; Also covers AI Agents, LLM Frameworks; More recently updated (last pushed Jul 10, 2026).
- When should I choose awesome-mcp-servers over Agent-Reach?
- Choose awesome-mcp-servers over Agent-Reach when Tags unique to awesome-mcp-servers: ai, mcp; More GitHub stars (91k vs 55k) - visibility, not fit.
- When should I avoid Agent-Reach?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- When should I avoid awesome-mcp-servers?
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- Is Agent-Reach or awesome-mcp-servers more popular on GitHub?
- awesome-mcp-servers has more GitHub stars (90,602 vs 54,715). Stars measure visibility, not whether either tool fits your constraints.
- Are Agent-Reach and awesome-mcp-servers open source?
- Yes - both are open-source projects on GitHub (Agent-Reach: MIT, awesome-mcp-servers: MIT).
- Where can I find alternatives to Agent-Reach or awesome-mcp-servers?
- GraphCanon lists graph-backed alternatives at Agent-Reach alternatives and awesome-mcp-servers alternatives (Agent-Reach markdown twin, awesome-mcp-servers 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, Agent-Reach or awesome-mcp-servers?
- Agent-Reach: Very active. awesome-mcp-servers: 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 Agent-Reach and awesome-mcp-servers?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Agent-Reach trust report; awesome-mcp-servers trust report.