io.github.loopg/pramana-mcp
Read your recorded AI agent runs, and what changed when you swapped a model or prompt.
MCP server · by loopg
About
io.github.loopg/pramana-mcp is an MCP server published by loopg. Marketplaces we read that list it: 1 (Official MCP Registry). We first saw it on 2026-10-11 and have recorded no change since. As of our marketplace pass on 2026-10-12.
What it asks for
- Runs on your machine
- Secrets: 1
- Settings: 2
What it declares, asks for and runs, in full
Only install plugins from developers you trust. We list what marketplaces publish and do not test plugins.
Connect
Commands and configs built only from what its marketplaces declare. We do not run them for you and do not test plugins.
As a local MCP server: PyPI package
Built from what Official MCP Registry declares.
claude mcp add --env "PRAMANA_API_KEY=<YOUR_PRAMANA_API_KEY>" --transport stdio pramana-mcp -- uvx pramana-mcp[mcp_servers.pramana-mcp]
command = "uvx"
args = ["pramana-mcp"]
[mcp_servers.pramana-mcp.env]
PRAMANA_API_KEY = "<YOUR_PRAMANA_API_KEY>"{
"mcpServers": {
"pramana-mcp": {
"command": "uvx",
"args": [
"pramana-mcp"
],
"env": {
"PRAMANA_API_KEY": "<YOUR_PRAMANA_API_KEY>"
}
}
}
}Replace the values in angle brackets with your own. We show the names of the settings, never values.
Optional settings it also lists: PRAMANA_API_URL.
We do not store launch arguments. If the server needs any, its own documentation names them.
Where it is published
| Marketplace | Status | Version | Figures | Verified | First seen |
|---|---|---|---|---|---|
| Official MCP Registry (Open the registry record) | Listed | 0.1.3 | Forks (GitHub): 0 Stars (GitHub): 0 |
Not marked |
Each figure is the marketplace's own and is never added up across marketplaces. A marketplace that publishes no figure shows none: no number is not zero.
What changed
Nothing has moved on this plugin since we started watching it.
Similar plugins
Products whose own names, descriptions, tools and skills are closest in meaning to this one, on every marketplace we read. Closeness is ranked within this list only.
-
Structured observability for AI agents. Trace steps, decisions, and errors. MCP server + CLI viewer.
-
anotherai dev.anotherai/anotherai
MCP server for building and testing AI agents with multi-model experimentation and insights.
-
agent-observability io.github.KryptosAI/agent-observability
Trace AI agent execution: every tool call, every error, every dollar. Open source, local-first.
-
mcp-pickaxe io.github.aplaceforallmystuff/mcp-pickaxe
MCP server for Pickaxe API - manage AI agents, knowledge bases, users, and analytics
-
noveum ai.noveum/noveum
Trace, evaluate, and optimize your LLM, RAG, and agent apps with Noveum observability.
-
Synthetic checks, nightly regression replay and model-drift alerts for AI agents
-
Run AI agent evaluations on your own model keys, and publish runs others can review and re-run.
-
Agent tracing, cost tracking, anomaly detection for LLM agents
-
okahu co.okahu.mcp-registry/okahu
Cloud hosted Okahu MCP server that helps you manage genAI trace data
-
llm-observability-orchestration-agent-langchain ai.getvda/llm-observability-orchestration-agent-langchain
LLM Observability & Orchestration Agent (Langchain)
Similar plugins by marketplace
The same question asked of one marketplace at a time: is there an analog of this plugin there?
Has a listing on Claude Code: claude-plugins-community (5)
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
agent-tasks io.github.keshrath/agent-tasks
Pipeline task management for AI agents - stages, dependencies, artifacts, claiming
-
agent-discover io.github.keshrath/agent-discover
Find, install and enable MCP servers mid-session on any host, with consent and tool pinning
-
evalview-mcp io.github.hidai25/evalview-mcp
Regression testing for AI agents. Golden baselines, CI/CD, LangGraph, CrewAI, OpenAI, Claude.
-
Stop shipping agents on vibes. Score every agent output for quality, safety, and cost.
Has a listing on Claude Code: claude-plugins-official (5)
-
Skills for tracing, evaluating, and improving AI agents with MLflow. Supports the full agent improvement loop: instrument → trace → evaluate → iterate → validate.
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
OpenTelemetry observability for Claude Code sessions. Captures tool calls, LLM invocations, token usage, and errors as OTel traces. Send telemetry to Dash0 or any…
Has a listing on Claude: knowledge-work-plugins (5)
-
Skills for working with Langfuse, the open-source LLM engineering platform for tracing, prompt management, and evaluation.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Hosted MCP server for AI-assisted Grafana Cloud observability — no local installation required.
-
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
-
Figma design platform integration. Access design files, extract component information, read design tokens, and translate designs into code. Bridge the gap between design and…
Has a listing on Codex: openai-curated (openai/plugins) (5)
-
Skills for NVIDIAs ecosystem spans GPU acceleration, CUDA, AI agents, inference, robotics, Physical AI, Omniverse, and simulation. This plugin helps you understand the pieces…
-
Build with OpenAI APIs, Agents SDK, and ChatGPT Apps, and create and save OpenAI API keys from Codex.
-
Evaluate Codex skills and plugins from chat with a beginner-friendly start command, local-first reports, token budget explanations, and guided benchmarking.
-
Available for US1 customers only. Analyze, investigate, and act on your Datadog telemetry directly from ChatGPT using natural language. Ask questions about your production…
-
PostHog gives your AI agent direct access to your product analytics, feature flags, experiments, error tracking, surveys, logs, and LLM analytics. Ask questions about your data…
Has a listing on Community GitHub marketplaces (5)
-
Skills for adding DeepEval evaluations, tracing, datasets, Confident AI reports, and iterative improvement loops to AI applications.
-
DataRobot skills for AI/ML workflows — model training, deployment, predictions, feature engineering, monitoring, explainability, data preparation, App Framework CI/CD, and…
-
Dash0 Observability
OpenTelemetry observability for OpenAI Codex sessions. Captures prompts, tool calls, MCP calls, sub-agent activity, and token usage as OTel traces.
-
Build, train, and deploy AI models with deep AWS AI/ML expertise brought directly into your coding assistants, covering the surface area of Amazon SageMaker AI.
-
Build, deploy, and operate AI agents on AWS. Skills for scaffolding agents with Amazon Bedrock AgentCore, connecting tools, memory, policies, evaluation, debugging, and production…
Has a listing on Copilot CLI: github/awesome-copilot (5)
-
Run a lightweight, role-separated AI development team with flexible tools, developer-selected models, proportionate planning, and optional QA.
-
Skills and interactive Copilot canvas for designing, configuring, testing and deploying agents to Microsoft Foundry.
-
Microsoft Copilot Studio plugins for AI coding agents
-
Safe BLE diagnostics, evidence workflows, and guarded automation for AI agents.
-
See your local Copilot token usage by day, model, and session, and get tips to use it more efficiently.
Has a listing on Copilot CLI: github/copilot-plugins (5)
-
Toolkit for building Microsoft 365 Copilot declarative agents — scaffolding, JSON manifest development, and capability configuration.
-
model-apps
Build and deploy Power Apps generative pages for model-driven apps with specialist agents for planning, entity creation, and parallel code generation. Requires PAC CLI >= 2.7.0…
-
Build Power Apps Canvas Apps using the Canvas Authoring MCP server.
-
Bring Azure DevOps work-item, repository, and pull-request workflows into GitHub Copilot.
-
mcp-apps
Generate MCP App widgets for MCP tools. Produces self-contained HTML widgets using the MCP Apps protocol.
Has a listing on Cursor: cursor/plugins (5)
-
Fan large tasks out across parallel cloud agents with planners, workers, verifiers, and structured handoffs.
-
Incremental transcript-driven memory updates for AGENTS.md using high-signal bullet points only.
-
Iterative self-referential AI loops using the Ralph Wiggum technique.
-
Inspect and manage feature gates, experiments, dynamic configs, and metrics.
-
Work with PostHog from chat: query product analytics and run SQL, manage feature flags and experiments, triage error tracking issues, and review session replays, surveys, and…
Has a listing on Docker MCP Catalog (5)
-
Read and score Opik traces, experiments, datasets and prompts from your AI assistant.
-
Wayfound’s MCP server allows business users to govern, supervise, and improve AI Agents.
-
Bridges multiple AI models and CLIs, enabling orchestrated workflows across Claude Code, Gemini CLI, Codex CLI, and other AI development tools.
-
testkube-mcp io.github.kubeshop/testkube-mcp
MCP server for Testkube - Manage test workflows, executions, and artifacts via AI assistants
-
Discover and connect to a curated marketplace of MCP servers for extending AI agent capabilities.
Has a listing on Official MCP Registry (5)
-
Structured observability for AI agents. Trace steps, decisions, and errors. MCP server + CLI viewer.
-
anotherai dev.anotherai/anotherai
MCP server for building and testing AI agents with multi-model experimentation and insights.
-
agent-observability io.github.KryptosAI/agent-observability
Trace AI agent execution: every tool call, every error, every dollar. Open source, local-first.
-
mcp-pickaxe io.github.aplaceforallmystuff/mcp-pickaxe
MCP server for Pickaxe API - manage AI agents, knowledge bases, users, and analytics
-
noveum ai.noveum/noveum
Trace, evaluate, and optimize your LLM, RAG, and agent apps with Noveum observability.
Found by meaning, not by shared code or a shared repository: similar plugins stay separate products, and this is not a review or a recommendation.
Is this your plugin?
Prove you maintain it with a file in its repository, a file on your domain or a DNS record. You get alerts when a marketplace lists it, drops it, changes its verified mark or what it asks for, and can put its remote endpoint on monitoring as a web service.
Data comes from the Official MCP Registry (registry.modelcontextprotocol.io), CC0 1.0. Figures come from our own regular passes over the marketplaces, last read on . We publish no contact details for plugin publishers.