Mito Ai

Mito (Saga, Inc. / Sagacollab) is a suite of Jupyter and JupyterLab extensions that help data professionals write Python code faster. It combines Mito AI (a context-aware chat agent, autocomplete, and smart debugging), the Mito Spreadsheet (an Excel-like interface that generates equivalent Python/pandas code as you edit, pivot, filter, and graph), database connectors, and one-click deployment of notebooks as Streamlit and Dash apps. Mito is distributed as open-source Python packages (mitosheet, mito-ai) installable via pip and ships an official Mito AI MCP server for connecting the Mito Agent to MCP-capable clients. It is not a hosted REST API product; the developer surface is the client libraries, the MCP server, and the Jupyter tooling. Backed by Lightspeed Venture Partners.

Mito Ai is profiled on the APIs.io network. Tagged areas include Company, Data Analytics, Jupyter, Spreadsheet, and Artificial Intelligence.

Mito Ai’s developer surface includes documentation, getting-started guide, engineering blog, pricing, signup flow, support, changelog, and 8 more developer resources.

🌐 Visit website 📡 Source on GitHub
24.2/100 emerging ▬ flat Agent 12/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs 1 MCP Servers
CompanyData AnalyticsJupyterSpreadsheetArtificial IntelligencePythonData ScienceMCP

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 24.2/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 10.0 / 20
Commercial Clarity 4.7 / 20
Operational Transparency 2.7 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 12/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 12 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/mito-ai: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Mito AI MCP server

MCP SERVER

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Mito Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal
DeveloperPortal
 GettingStarted
GettingStarted
 SignUp
SignUp

Documentation 1

Reference material describing how the API behaves

Documentation
Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

MCPServer
MCPServer
 LLMsTxt
LLMsTxt

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization
 Packages
Packages
 SDKs
SDKs

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Operate 2

Status, limits, changes, and where to get help

Support
Support
 ChangeLog
ChangeLog

Commercial 1

Pricing, plans, and the legal terms of use

Pricing
Pricing

Company 2

The organization behind the API

Website
Website
 Blog
Blog

Source (apis.yml)

apis.yml Raw ↑ 
aid: mito-ai
name: Mito Ai
description: Mito (Saga, Inc. / Sagacollab) is a suite of Jupyter and JupyterLab extensions that help data professionals write
  Python code faster. It combines Mito AI (a context-aware chat agent, autocomplete, and smart debugging), the Mito Spreadsheet
  (an Excel-like interface that generates equivalent Python/pandas code as you edit, pivot, filter, and graph), database connectors,
  and one-click deployment of notebooks as Streamlit and Dash apps. Mito is distributed as open-source Python packages (mitosheet,
  mito-ai) installable via pip and ships an official Mito AI MCP server for connecting the Mito Agent to MCP-capable clients.
  It is not a hosted REST API product; the developer surface is the client libraries, the MCP server, and the Jupyter tooling.
  Backed by Lightspeed Venture Partners.
url: https://raw.githubusercontent.com/api-evangelist/mito-ai/refs/heads/main/apis.yml
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://avatars.githubusercontent.com/u/55325926?v=4
x-type: company
x-source: vc-portfolio
x-backed-by:
- lightspeed-venture-partners
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Data Analytics
- Jupyter
- Spreadsheet
- Artificial Intelligence
- Python
- Data Science
- MCP
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.trymito.io
- type: DeveloperPortal
  url: https://docs.trymito.io
- type: Documentation
  url: https://docs.trymito.io
- type: GettingStarted
  url: https://docs.trymito.io/getting-started/installing-mito
- type: GitHubOrganization
  url: https://github.com/mito-ds
- type: Blog
  url: https://www.trymito.io/blog
- type: Pricing
  url: https://www.trymito.io/plans
- type: SignUp
  url: https://www.trymito.io/plans
- type: Support
  url: https://discord.com/invite/XdJSZyejJU
- type: ChangeLog
  url: https://docs.trymito.io/misc/release-notes
- type: MCPServer
  name: Mito AI MCP server
  url: mcp/mito-ai-mcp.yml
- type: Packages
  url: packages/mito-ai-packages.yml
- type: SDKs
  url: packages/mito-ai-packages.yml
- type: LLMsTxt
  url: llms/mito-ai-llms.txt
- type: DomainSecurity
  url: security/mito-ai-domain-security.yml
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 4
  pass: local-v1