Mmcp.market

Head to head

CHAP Coordinator vs Ollama / vLLM Bridge

Same numbers we show everywhere else, lined up. Ratings come from users, the grade comes from our scanner, adoption comes from public registries.

CHAP Coordinatorio.github.BrightbeamAI/chap
A
No reviews yet

Auditable records of human decisions over AI agent work. Approvals, edits, overrides, escalations.

Full listing
Ollama / vLLM Bridgeio.github.setheerwagen/mcp-ollama-vllm
B
No reviews yet

Call your local Ollama or vLLM model over MCP with schema-validated JSON output

Full listing

The short version

Neither has been reviewed yet, so the comparison rests on the scan and the public usage numbers. The safety scan favours CHAP Coordinator (94/100 against 80). CHAP Coordinator has noticeably more public adoption.

 CHAP CoordinatorOllama / vLLM Bridge
User ratingNo reviews yetNo reviews yet
Safety gradeA94/100B80/100
AdoptionEstablishedGrowing
GitHub stars1020
Downloads / week12751
Runs whereYour machine (local)Your machine (local)
Gateway-readyNoNo
Tools4
Write actions
Price per callFreeFree
LicenceApache-2.0MIT
Last release2026-09-172026-09-08
CategoryAI and agentsAI and agents

Other comparisons