Home/Compare/prompts.chat vs fastapi_mcp

Comparison

prompts.chat vs fastapi_mcp

Verdict

Pick prompts.chat when prompts.chat is primarily HTML; fastapi_mcp is Python; pick fastapi_mcp when fastapi_mcp is primarily Python; prompts.chat is HTML.

Markdown twin · prompts.chat alternatives · fastapi_mcp alternatives

GraphCanon updated today

prompts.chat logo

prompts.chat

f/prompts.chat

165kpushed Jul 11, 2026
vs
fastapi_mcp logo

fastapi_mcp

tadata-org/fastapi_mcp

12kpushed Nov 24, 2025

Trust & integrity

Signalprompts.chatfastapi_mcp
Maintenance
Very active (0d since push)
As of today · github_public_v1
Slowing (228d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
No MCP manifest
As of today · mcp_manifest

Tagline

prompts.chat
Share, discover, and collect prompts from the community
fastapi_mcp
Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!

Stars

prompts.chat
165k
fastapi_mcp
12k

Forks

prompts.chat
21k
fastapi_mcp
952

Open issues

prompts.chat
60
fastapi_mcp
158

Language

prompts.chat
HTML
fastapi_mcp
Python

Adopt for

prompts.chat
Critical decision points for evaluating `prompts.chat`
fastapi_mcp
-

Persona

prompts.chat
-
fastapi_mcp
-

Runtime

prompts.chat
-
fastapi_mcp
-

License

prompts.chat
Other
fastapi_mcp
MIT

Last pushed

prompts.chat
Jul 11, 2026
fastapi_mcp
Nov 24, 2025

Categories

prompts.chat
LLM Frameworks, Developer Tools
fastapi_mcp
LLM Frameworks, Developer Tools

Trust and health

Maintenance

prompts.chat
Very active (96%)
fastapi_mcp
Slowing (36%)

Days since push

prompts.chat
0d
fastapi_mcp
228d

Open issues (now)

prompts.chat
60
fastapi_mcp
158

Owner type

prompts.chat
User
fastapi_mcp
Organization

Security scan

prompts.chat
No lockfile
fastapi_mcp
No MCP manifest

Full report

prompts.chat
Trust report
fastapi_mcp
Trust report

Choose prompts.chat if…

  • prompts.chat is primarily HTML; fastapi_mcp is Python.
  • License: prompts.chat is Other, fastapi_mcp is MIT.
  • Tags unique to prompts.chat: artificial-intelligence, gemini, machine-learning, awesome-list.
  • Critical decision points for evaluating `prompts.chat`

When NOT to use prompts.chat

  • 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.

Choose fastapi_mcp if…

  • fastapi_mcp is primarily Python; prompts.chat is HTML.
  • License: fastapi_mcp is MIT, prompts.chat is Other.
  • Tags unique to fastapi_mcp: authentication, fastapi, cursor, mcp.

When NOT to use fastapi_mcp

  • Last GitHub push was 229 days ago (slowing maintenance, Nov 24, 2025). Validate activity before betting a new project on fastapi_mcp.
  • 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 on cards: prompts.chat 165k · fastapi_mcp 12k (synced Jul 11, 2026).

Common questions

What is the difference between prompts.chat and fastapi_mcp?
prompts.chat: Share, discover, and collect prompts from the community. fastapi_mcp: Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!. See the comparison table for live GitHub stats and shared categories.
When should I choose prompts.chat over fastapi_mcp?
Choose prompts.chat over fastapi_mcp when prompts.chat is primarily HTML; fastapi_mcp is Python; License: prompts.chat is Other, fastapi_mcp is MIT; Tags unique to prompts.chat: artificial-intelligence, gemini, machine-learning, awesome-list; Critical decision points for evaluating prompts.chat.
When should I choose fastapi_mcp over prompts.chat?
Choose fastapi_mcp over prompts.chat when fastapi_mcp is primarily Python; prompts.chat is HTML; License: fastapi_mcp is MIT, prompts.chat is Other; Tags unique to fastapi_mcp: authentication, fastapi, cursor, mcp.
When should I avoid prompts.chat?
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 fastapi_mcp?
Last GitHub push was 229 days ago (slowing maintenance, Nov 24, 2025). Validate activity before betting a new project on fastapi_mcp. 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.
Is prompts.chat or fastapi_mcp more popular on GitHub?
prompts.chat has more GitHub stars (165,372 vs 11,939). Stars measure visibility, not whether either tool fits your constraints.
Are prompts.chat and fastapi_mcp open source?
Yes - both are open-source projects on GitHub (prompts.chat: Other, fastapi_mcp: MIT).
Where can I find alternatives to prompts.chat or fastapi_mcp?
GraphCanon lists graph-backed alternatives at prompts.chat alternatives and fastapi_mcp alternatives (prompts.chat markdown twin, fastapi_mcp 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, prompts.chat or fastapi_mcp?
prompts.chat: Very active. fastapi_mcp: Slowing. 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 prompts.chat and fastapi_mcp?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: prompts.chat trust report; fastapi_mcp trust report.