mcp server
Roundtable
Multi-model AI debates: GPT-4o, Claude, Gemini & 200+ models discuss, then synthesize insight.
Description as published by the maintainer. Source
- version 1.0.2
- slowing
slowing — Registry entry last updated 2026-03-10.
What this server can do
13 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.
assess-tradeoffs(context, options, decision, priorities, webhook_url, thinking_level, session_context)- Tradeoff assessment council. Pragmatist, Skeptic, and Futurist evaluate options from different angles — short-term vs long-term, risk vs reward, simplicity vs flexibility. Output as pros-cons. Required: decision.
check-usage(verbose)- Check your remaining credits, usage limits, and plan info
consult-council(mode, roles, format, models, prompt, context, knowledge, auto_route, webhook_url, thinking_level, session_context)- Consult the AI coding council — multiple models discuss your engineering question sequentially (each sees prior responses), then a moderator synthesizes. Auto-mode by default — AI picks optimal models, roles, and conversation mode from your prompt. Provide explicit models to override (manual mode). Fully configurable: mode, format, roles, models, thinking level. Required: prompt.
debug-issue(code, error, problem, knowledge, webhook_url, thinking_level, session_context, expected_behavior)- Debugging council. Root Cause Analyst, Systems Engineer, and Edge Case Investigator collaboratively diagnose bugs, analyze errors, and propose fixes. Required: problem.
design-architecture(scale, tech_stack, description, focus_areas, webhook_url)- Architecture design council. Systems Architect, Infrastructure Engineer, and DX Advocate evaluate your system design. Always uses high thinking for maximum depth. Output as ADR. Required: description.
get-logs(event, level, limit, offset, end_time, session_id, start_time)- Query structured logs from your MCP tool executions. Filter by session, severity level, event type, and time range. Useful for debugging and monitoring tool usage.
get-session(session_id)- Get full details of a previous MCP session by ID. Returns the complete result including participant responses and moderator synthesis. Use list-sessions first to find session IDs. Required: session_id.
get-thread-link(session_id)- Get the dashboard URL for a previous debate session. Returns the thread link and public URL if the thread is public. Required: session_id.
list-models(thinking_level)- List available AI models grouped by thinking level (low/medium/high). Shows default models, credit costs, capabilities for each tier. Use this before consult to understand model options.
list-sessions(limit, offset, tool_name)- List your previous MCP tool sessions. Returns session metadata including prompt, tool used, quality score, and credits consumed. Useful for reviewing past council discussions.
plan-implementation(feature, knowledge, tech_stack, constraints, webhook_url, thinking_level, session_context, codebase_context)- Implementation planning council. Tech Lead, Senior Engineer, and QA Strategist break down a feature into actionable steps, identify risks, and define acceptance criteria. Output as ADR. Required: feature.
review-code(code, focus, language, webhook_url, thinking_level)- Code review council. Senior Engineer, Security Reviewer, and Performance Analyst analyze your code and a moderator synthesizes their findings. Required: code.
set-thread-visibility(is_public, session_id)- Set a thread as public or private. Public threads can be shared via URL. Use session_id from a previous debate session. Required: is_public, session_id.
Last successful function declaration observed on . Source: https://mcp.roundtable.now/mcp. We list what the server declared; we do not call any of these functions.
Endpoint status observed on . Source: https://mcp.roundtable.now/mcp.
Signals
These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.
| Signal | Value | What it measures | Window | Observed | Source |
|---|---|---|---|---|---|
| Latest published version | 1.0.2 | Latest version string the maintainer published to the registry. | as of fetch | Model Context Protocol | |
| Registry record last updated | 2026-03-10 | When the registry record was last updated by its maintainer. | point in time | Model Context Protocol | |
| First listed in the MCP Registry | 2026-03-10 | Date this server was first published to the official MCP Registry. Not a usage or quality measure. | point in time | Model Context Protocol | |
| mcp tools declared | 13 tools | Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. | as of probe | mcp.roundtable.now | |
| mcp endpoint status | ok | The server listed 13 functions when asked. | as of probe | mcp.roundtable.now |
Where to get it
This record as data
Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.
GET /api/v1/entries/mcp_server.json