ChatGPT Plugin

Brainbase MCP

Build and operate AI agents

Brand: Brainbase Labs

Category: AI
Primary Subcategory: AI Agent Builders & Deployment Platforms

Integration details

Description

Brainbase MCP lets users create, inspect, update, test, deploy, and monitor managed AI agents from ChatGPT and Codex. It supports revision-safe agent changes, registry skills and MCP server configuration, evaluations, orchestrations, schedules, and task runs, with explicit confirmation for destructive actions and OAuth-based access to the user's Brainbase workspace.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: AI
Primary Subcategory: AI Agent Builders & Deployment Platforms
Secondary Subcategories: None listed
Brand: Brainbase Labs
Access: Account required
First tracked: 2026-08-04
Tool count: 46
Market: US

Agent DiscoverabilityChatGPT Discoverability ScoreUpdated daily

The first to track the ChatGPT, Claude, Muse, Grok & Google ecosystems, with the largest database on the core platforms. Tracked daily since 1 December 2025.

Brainbase MCPChatGPT Plugin · AI Agent Builders & Deployment Platforms

Discoverability Score

0/100

Invisible

Category rank

#12of 55

in AI Agent Builders & Deployment Platforms

Picked: 0.0/100
Found: 0.0/100
Positioned: –/100

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Category leaderboard

AI Agent Builders & Deployment Platforms

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Primary Subcategory

Competing in ChatGPT AI Agent Builders & Deployment Platforms

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Listed in alphabetical order

Primary Subcategory

Abracadabrax Stickers0/100

Agent Swarm0/100

Agentic Atlas0/100

Agentplace0/100

Agora0/100

Brainbase MCP0/100

Tools

46 tools agents can invoke

Use to append one task-specific user message. Setting run starts a billable turn that may invoke the agent's external tools.
tasks_followup
Use to add one existing agent to an orchestration. Run with dry_run first when the surrounding graph state needs validation.
orchestration_members_add
Use to add or overwrite one playbook while preserving unrelated manifest components. Requires revision and idempotency guards.
playbooks_upsert
Use to add or overwrite one orchestration schedule. New schedules default to inactive unless the user explicitly requests activation.
schedules_upsert
Use to add or overwrite one named, non-secret MCP server configuration while preserving hidden stored credentials.
mcp_servers_upsert
Use to add or overwrite one directed agent-to-agent edge. Run dry_run first and supply the latest orchestration revision.
orchestration_edges_upsert
Use only after explicit confirmation to remove one active playbook. Requires the current revision and exact playbook title.
playbooks_archive
Use to attach or replace one registry skill on an agent after validating the package and obtaining the latest agent revision.
skills_attach
Use to create one managed agent in Brainbase. Supply a stable idempotency key; omit runtime settings to use server defaults.
agents_create
Use to create and run a task with one task-specific user prompt. The billable run starts by default and may invoke the agent's external tools, so disclose that before calling; set auto_run false only when the user wants a draft.
tasks_create
Use to add one evaluation definition to an agent. The definition does not run until evals_run is called.
evals_create
Use to create one private orchestration in a resolved team with a stable idempotency key. It does not run agents by itself.
orchestrations_create
Use only after explicit user confirmation. Permanently deletes the agent and requires its latest revision and exact title.
agents_delete
Use only after explicit user confirmation. Permanently deletes one eval definition and requires its latest revision and exact slug.
evals_delete
Use only after explicit user confirmation. Permanently deletes the orchestration and requires its latest revision and exact name.
orchestrations_delete
Use to remove one exact registry skill attachment from an agent after inspecting the agent and its latest revision.
skills_detach
Use to fetch only the agent's latest opaque revision when its full configuration was already inspected and remains current.
agents_get_revision
Use to read an agent's current configuration and opaque revision immediately before a targeted update or destructive action.
agents_get
Use after skill search to inspect one exact creator and slug before attaching it to an agent.
skills_get
Use to read the selected task's user-facing identity and current status without returning sandbox or account diagnostics.
tasks_get
Use after template search to resolve one exact published template, its version, defaults, components, and compatibility warnings.
templates_get
Use to read one evaluation definition and its opaque revision before updating, deleting, or running it.
evals_get
Use to read an orchestration's members, edges, schedules, and fresh opaque revision before any graph change.
orchestrations_get
Use to inspect task activity as event types plus sanitized JSON details. Internal IDs, credentials, raw payloads, and reasoning are removed.
tasks_events
Use only when the user wants to stop active work on a task. Interrupting can prevent the current run from completing.
tasks_interrupt
Use when the user needs to discover the Brainbase organizations they can access before selecting a team or resource.
orgs_list
Use to discover evaluation definitions for one agent before inspecting, updating, running, or deleting an eval.
evals_list
Use to inspect an agent's active playbooks and current manifest revision before changing one playbook.
playbooks_list
Use to discover the user's Brainbase tasks, optionally for one agent, before inspecting status or events.
tasks_list
Use to inspect an agent's configured MCP servers. Credential values are never returned; only their presence is indicated.
mcp_servers_list
Use to inspect stored evaluation verdicts for an agent, optionally limited to one task created by an eval run.
evals_results
Use to find managed agents the user can access, optionally within one resolved team, before inspecting or modifying an agent.
agents_list
Use to discover orchestrations in one resolved team before inspecting or changing an orchestration graph.
orchestrations_list
Use after resolving an organization to list its Brainbase teams and obtain the exact team ID for agent or orchestration work.
teams_list
Use to remove one schedule from an orchestration after inspecting the graph and obtaining its latest revision.
schedules_remove
Use to remove one named MCP server from an agent after inspecting the current configuration and obtaining a fresh revision.
mcp_servers_remove
Use to remove one exact directed edge. Run dry_run first and supply the latest orchestration revision.
orchestration_edges_remove
Use to remove one agent and dependent graph links. Run dry_run first to review the edges and schedule links that would also be removed.
orchestration_members_remove
Use when only an agent's instructions should change. Requires the fresh opaque revision and replaces the full instruction text.
instructions_update
Use to start a billable agent task for one enabled evaluation. Disclose billable execution before calling and use an idempotency key.
evals_run
Use to search Brainbase's published agent-template registry before creating an agent from a specific template.
templates_search
Use to search Brainbase's published skill registry before choosing a skill package to inspect or attach.
skills_search
Use to manually test one persisted schedule. This can start billable agent runs, so disclose that before calling.
schedules_test
Use to overwrite selected agent profile fields with the latest expected revision. Existing tasks keep their runtime snapshot.
agents_update
Use to overwrite selected fields on an evaluation definition with its latest opaque revision.
evals_update
Use to overwrite selected orchestration metadata with a fresh revision without replacing members, edges, or schedules.
orchestrations_update

FAQs

Brainbase MCP ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve Brainbase MCP's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are Brainbase MCP alternatives on ChatGPT?

As of 2026-11-02, Brainbase MCP competes with Abracadabrax Stickers, Agent Swarm, Agentic Atlas, Agentplace, Agora, AI Teacher, Arcopolis, Ari - Agent for Magento and 46 more in ChatGPT AI Agent Builders & Deployment Platforms, ranked by public Discoverability Score.

Where does Brainbase MCP rank in AI Agent Builders & Deployment Platforms on ChatGPT?

As of 2026-11-02, Brainbase MCP ranks #12 of 55 in ChatGPT AI Agent Builders & Deployment Platforms with a Discoverability Score of 0/100 (Invisible).

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.

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Competing in ChatGPT AI Agent Builders & Deployment Platforms

46 tools agents can invoke

Brainbase MCP ChatGPT Plugin FAQ