Brainbase MCP

Build and operate AI agents

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
Geography: US

ChatGPT Plugin Discovery Score

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Primary Subcategory

Competing in ChatGPT AI Agent Builders & Deployment Platforms

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Listed in alphabetical order

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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

Brainbase MCP FAQ

How do I improve a ChatGPT Plugin's 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 2026-09-18, Brainbase MCP competes with Botpress, Camber, CodeWords, Codex Tasks, Delegate User Codex, Dowaba AI Configuration, Expertise Live Chatbot, Graffiticode, Imagina RPG, Inistate, Kody, Manus, Mosaiq Labs, Ninjo, Noodle Seed, Outside Agent, Roe, V7 Go (EU), YepCode, Zeiko Agents in ChatGPT AI Agent Builders & Deployment Platforms, ranked by public Discoverability Score.

Where is this profile measured?

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

Get alerts for Brainbase MCP

ChatGPT Plugin discovery is coming soon

Competing in ChatGPT AI Agent Builders & Deployment Platforms

46 tools agents can invoke