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ABMeter MCP Server

ABMeter MCP exposes experimentation and analytics tooling over streamable HTTP for MCP clients.

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Review first review before installing

Open the source and read safety notes before installing.

Safety notes

  • Remote MCP tools may trigger live API writes—confirm least-privilege credentials.
  • Treat Authorization headers and API keys as secrets; never commit them to repositories.

Privacy notes

  • Queries, tool payloads, and responses enter MCP client context and vendor infrastructure logs.
  • Review data residency and retention policies before connecting production accounts.

Prerequisites

  • MCP client with streamable HTTP transport support.
  • Vendor account or API credentials when registry metadata marks Authorization headers as required.
  • Security review of tool write scope before production use.

Schema details

Install type
cli
Troubleshooting
No
Collection metadata
Estimated setup
15 minutes
Difficulty
intermediate
Tool listing metadata
Full copyable content
{
  "mcpServers": {
    "abmeter": {
      "url": "https://YOUR_ABMETER_MCP_REMOTE",
      "type": "http"

    }
  }
}

About this resource

Overview

ABMeter MCP Server is listed in the MCP Registry as ai.abmeter/abmeter. ABMeter MCP exposes experimentation and analytics tooling over streamable HTTP for MCP clients.

Installation

claude mcp add --transport http abmeter YOUR_ABMETER_MCP_REMOTE

Source Verification Notes

Verified on 2026-06-17:

  • MCP Registry search returns ai.abmeter/abmeter with documented remote transport metadata.
  • Primary documentation URL https://abmeter.ai is publicly reachable.
  • Claude Code MCP docs describe HTTP connector setup patterns used in this entry.

Duplicate Check

No existing content/mcp/ entry documents registry package ai.abmeter/abmeter.

Editorial Disclosure

Community listing by kiannidev from MCP Registry metadata and reachable vendor documentation.

Source citations

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How it compares

ABMeter MCP Server side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.

FieldABMeter MCP Server

ABMeter MCP exposes experimentation and analytics tooling over streamable HTTP for MCP clients.

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agency.lona/trading MCP Server

Lona trading MCP provides AI-assisted strategy development, backtesting, market data, and portfolio analysis.

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Agentic News MCP Server

Agentic News MCP delivers news discovery and agentic news workflows over streamable HTTP.

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Archestra MCP Platform

AGPL-licensed MCP-native platform with a private MCP registry, MCP gateway, Kubernetes MCP orchestrator, access control, credential resolution, observability, and deterministic tool guardrails for shared AI deployments.

Open dossier
Trust
Install riskReview firstReview firstReview firstReview first
Notes Safety Privacy Safety Privacy Safety Privacy Safety Privacy
Categorymcpmcpmcpmcp
Sourcesource-backedsource-backedsource-backedsource-backed
AuthorABMeterLonaAgentic Newsarchestra-ai
Added2026-06-172026-06-172026-06-172026-06-06
Platforms
Claude CodeCodexCursorClaude Desktop
Claude CodeClaude Desktop
Claude CodeClaude Desktop
Claude CodeClaude Desktop
Source repo
Safety notesRemote MCP tools may trigger live API writes—confirm least-privilege credentials. Treat Authorization headers and API keys as secrets; never commit them to repositories.Remote MCP tools may trigger live API writes—confirm least-privilege credentials. Treat Authorization headers and API keys as secrets; never commit them to repositories.Remote MCP tools may trigger live API writes—confirm least-privilege credentials. Treat Authorization headers and API keys as secrets; never commit them to repositories.Archestra is a platform/control-plane entry, not a single-purpose local MCP helper; admins can expose many MCP servers, agents, tools, and credentials through one gateway. The upstream quickstart mounts the host Docker socket so the platform can run MCP servers; treat that as highly privileged host access and avoid using it on sensitive machines without isolation. Self-hosted MCP servers may run as Kubernetes workloads with injected environment variables, secrets, images, network policies, and restart controls. Tool assignments, gateway visibility, credential resolution, custom headers, and load-tools-on-demand settings should be reviewed per team and environment. Deterministic tool guardrails can reduce some unsafe tool chains, but they depend on correct policies and do not make untrusted MCP servers safe by default.
Privacy notesQueries, tool payloads, and responses enter MCP client context and vendor infrastructure logs. Review data residency and retention policies before connecting production accounts.Queries, tool payloads, and responses enter MCP client context and vendor infrastructure logs. Review data residency and retention policies before connecting production accounts.Queries, tool payloads, and responses enter MCP client context and vendor infrastructure logs. Review data residency and retention policies before connecting production accounts.MCP server definitions, tool schemas, gateway tokens, upstream credentials, OAuth tokens, API keys, custom headers, logs, traces, and tool results may be stored or processed by the platform. Built-in observability, LLM proxy, chat, agents, and policy features can reveal prompts, tool arguments, tool outputs, token usage, user identities, team membership, and trace metadata. Registry entries and installations can use personal, team-scoped, or shared credentials; choose the narrowest scope that matches the use case. When external MCP clients call an Archestra gateway, downstream tool results can still be sent by the MCP client to the configured model provider.
Prerequisites
  • MCP client with streamable HTTP transport support.
  • Vendor account or API credentials when registry metadata marks Authorization headers as required.
  • Security review of tool write scope before production use.
  • MCP client with streamable HTTP transport support.
  • Vendor account or API credentials when registry metadata marks Authorization headers as required.
  • Security review of tool write scope before production use.
  • MCP client with streamable HTTP transport support.
  • Vendor account or API credentials when registry metadata marks Authorization headers as required.
  • Security review of tool write scope before production use.
  • Docker for local evaluation, or Kubernetes and Helm/Terraform-style deployment planning for production use.
  • Organization policy for which MCP servers, credentials, teams, environments, and external network destinations may be exposed.
  • LLM provider keys or local model configuration if using Archestra's built-in chat, agents, or LLM proxy features.
  • Admin review of the quickstart container command before mounting the Docker socket.
Install
claude mcp add --transport http abmeter YOUR_ABMETER_MCP_REMOTE
claude mcp add --transport http lona-trading YOUR_LONA_MCP_REMOTE
claude mcp add --transport http agentic-news YOUR_AGENTIC_NEWS_MCP_REMOTE
docker pull archestra/platform:latest
Config
{
  "mcpServers": {
    "abmeter": {
      "url": "https://YOUR_ABMETER_MCP_REMOTE",
      "type": "http"

    }
  }
}
{
  "mcpServers": {
    "agency": {
      "url": "https://YOUR_LONA_MCP_REMOTE",
      "type": "http"

    }
  }
}
{
  "mcpServers": {
    "agentic": {
      "url": "https://YOUR_AGENTIC_NEWS_MCP_REMOTE",
      "type": "http"

    }
  }
}
{
  "mcpServers": {
    "archestra": {
      "url": "LOCAL_ARCHESTRA_MCP_GATEWAY_URL",
      "headers": {
        "Authorization": "Bearer ARCHESTRA_GATEWAY_TOKEN"
      }
    }
  }
}
Citations
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