Schema | VegaMCP

VegaMCP

Describes the environment variables required to run the server.

Name	Required	Description	Default
`SENTRY_ORG`	No	Sentry organization slug
`SEARXNG_URL`	No	Self-hosted search fallback
`GITHUB_TOKEN`	No	GitHub API (60→5000 req/hr)
`KIMI_API_KEY`	No	Kimi K2.5 for coding
`SENTRY_PROJECT`	No	Sentry project name
`TAVILY_API_KEY`	No	AI-powered web search
`DEEPSEEK_API_KEY`	No	Direct DeepSeek API (R1 + Chat)
`SENTRY_AUTH_TOKEN`	No	Error tracking
`OPENROUTER_API_KEY`	No	Supports ALL models via OpenRouter
`VEGAMCP_TOOL_PROFILE`	No	full \| minimal \| research \| coding \| ops	full
`TOKEN_DAILY_BUDGET_USD`	No	Daily budget in USD	5.00
`TOKEN_HOURLY_BUDGET_USD`	No	Hourly budget in USD	1.00

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Functions exposed to the LLM to take actions

Name	Description
omni_assistantC	Core AI intelligence: reasoning, budget, auto-update, prompts, web search (speed/balanced/quality modes + domain filter), code analysis, docs, sequential thinking, expert toolkits, knowledge engine, memory graph, semantic memory (vector search), context7 library docs.
omni_swarmC	Agent orchestration: swarm ops, agent intel/ops, A2A protocol, agent graphs, agentic sampling, multimodal embeddings, session manager, MCP relay.
omni_automationC	Action & control: browser, workflow, filesystem, shell, git, MCP tasks, API requests, sandbox, watchers, webhooks, schedule, notify, the_claw, claw_command_center, vps_control, image_generation.
omni_systemsD	Infrastructure: database, postgres_client, health check, analytics, skills, seed data, sentry, OAuth, gateway, tool search, MCP apps, vault, dynamic indexing.
omni_researchD	Research & Science: graph RAG, agentic RAG, self evolution, hypothesis gen, quality gate, synthesis engine, LLM router, memory bridge, tool discovery, sentinel, LLM output evaluation.
omni_testingC	QA & Security: mobile, web, API, DB, server, desktop, accessibility, security, visual, advanced testing, security scanner, stress test, zero trust.

Interactive templates invoked by user choice

Name	Description
`investigate_error`	Investigate a production error by chaining: Sentry lookup → source correlation → fix.
`architecture_review`	Review the project architecture by querying the memory graph and analyzing patterns.
`research_pipeline`	Run a multi-agent research pipeline: research → analyze → review → summarize.
`swarm_status_report`	Generate a comprehensive status report of the agent swarm, including agent health, task metrics, and system performance.
`code_review_pipeline`	Execute a full code review pipeline: analyze code → critique → suggest improvements → summarize.
`content_pipeline`	Generate polished content: research → draft → critique → revise → publish.
`project_planning`	Create a project plan: decompose tasks → estimate → identify dependencies → generate roadmap.

Contextual data attached and managed by the client

Name	Description
`All Memory Entities`	Browse all entities in the persistent knowledge graph with observation counts.
`Project Architecture Entities`	Entities in the project-arch domain.
`Coding Style Entities`	Entities in the coding-style domain.
`Bug History Entities`	Entities in the bug-history domain.
`General Entities`	Entities in the general domain.
`All Memory Relations`	Browse all relationships between entities in the knowledge graph.
`Swarm Status`	Live status of all agents, active tasks, and coordinators.
`Active Tasks`	Currently running and queued swarm tasks.
`Metrics Dashboard`	Aggregated performance metrics across all agents.
`Event Triggers`	All registered event triggers and their fire history.

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