Field-by-field comparison

Compare the evidence before choosing an MCP.

Each signal stays separate, missing facts remain visible, and the column order follows your selection.

MCPs in this comparison

Uncheck an MCP to remove it. Comparing two or three keeps each signal in its own row.

Open canonical comparison link

Comparable alternatives

Shown only when capability or industry context overlaps.

Side-by-side MCP evidence comparison
Evidence fieldmcp-agentShortlist candidateSequential Thinking MCPMCP100 Recommended
Task fit
Best for
  • Python teams building MCP-native multi-step agents or durable workflows.
  • Complex planning and debugging that benefits from revisions and branches
  • MCP demonstrations with a small single-purpose tool surface
  • Local workflows that do not require an external SaaS integration
Not ideal for
  • Users who need a broadly proven, low-risk, fully mature Recommended-grade integration today.
  • Simple questions where repeated reasoning calls add latency and tokens
  • Applications that should not surface or persist detailed reasoning traces
  • Workflows needing domain data or external actions
Avoid when
  • Avoid high-impact or sensitive production use unless the documented authentication, permissions, rollback, and data handling match your environment.
  • The host records tool arguments and sensitive reasoning must remain undisclosed
  • Strict token or latency budgets cannot tolerate repeated tool calls
  • Package execution through npx is prohibited by supply-chain policy
Provenance
Provenance details

First-party MCP

github:lastmile-ai · Publisher source ↗

Ecosystem official

Model Context Protocol · Publisher source ↗

Maintenance
Maintenance details

Repo: Not documented

Package: Not documented

Repo: Not documented

Package: Not documented

Popularity evidence
Package downloads / 30 daysNo reliable download data

487,276

package downloads / 30 days · checked 2026-09-24T18:01:16.051000Z

Shared repository stars

8,574

Shared repository stars (not MCP-specific) · checked 2026-10-21

90,577

Shared repository stars (not MCP-specific) · checked 2026-09-24T18:01:37.586000Z

Shared-package downloads / 30 days

25,742

shared-package downloads / 30 days (not MCP-specific) · checked 2026-10-21

Not documented
Client coverage
Client coverage detailsNot documented
Claude Code✓ Local stdio
Claude Desktop✓ Local stdio
Codex✓ Local stdio
VS Code✓ Local stdio
Cursor✓ Local stdio
OpenCode✓ Local stdio
Client coverage noteLocal stdio runs on your computer. Streamable HTTP connects to a remotely hosted MCP server.
Access and data
AuthenticationDepends on configured MCP servers and LLM/cloud providers; the framework documents configuration/secrets and OAuth support.None.
CostOpen-source framework; model providers, Temporal/cloud deployment and connected services may be billable.The ecosystem-official reference package is MIT licensed and has no service fee. Model tokens, local compute, and MCP-host costs remain.
PermissionsInherits the tool/resource authority of every connected MCP server plus any workflow/cloud runtime permissions.No external service scopes are required. The local process receives thought text and reasoning metadata from the MCP host and returns structured reasoning state.
Data handlingWorkflow data can pass through connected MCP servers, model providers and optional cloud/Temporal services; deployment-specific policies control retention.Reasoning text is processed by the local stdio server. The connected MCP host, model provider, and their logs may still transmit or retain tool arguments according to their own policies. Thought logging can be disabled with DISABLE_THOUGHT_LOGGING=true.
Limitations
Tradeoffs
  • Broad authority across multiple MCP servers/providers makes permission and production-governance evidence important before Recommended promotion.
  • Its single-tool scope keeps permissions small but provides no external facts or actions.
  • Structured thought history supports revision while increasing context use and potential telemetry exposure.
  • The package is easy to run with npx, while stricter environments may require a pinned version or container digest.
Risk contextBroad authority across multiple MCP servers/providers makes permission and production-governance evidence important before Recommended promotion.System permissions are low, but prompts and reasoning can contain secrets and repeated calls can increase token cost. Keep sensitive material out of thought text, disable thought logging where appropriate, and use an approved package version.
Evidence date
Editorial review2026-10-212026-07-24
Candidate evidence2026-10-21T00:00:00Z2026-09-24T04:25:05.554391Z

Popularity, maintenance, fit, permissions, and client support are independent evidence fields.

Read the evidence method →