social-api.ai valid
SocialAPI.ai
One API to publish posts and to read, manage, and respond to social media interactions (comments, DMs, reviews, and mentions) across 13 platforms. MCP-native for AI agents and developers.
- Authority
- 45 reach 0 · trust 5 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://social-api.ai/llms.txt
- llms-full.txt
- https://social-api.ai/llms-full.txt
- Sections
- 11
- Links
- 44
- Size
- 7174 bytes
- Country
- — Publisher location unknown; CDN address excluded
- Country evidence
- No published address evidence collected yet
- Categories
- AI and machine learning
- For agents
- Interface: a documented API or declared MCP endpoint an agent can call
- First seen
- 2026-10-25T18:51:13.393Z
- Last checked
- 2026-10-25T18:51:14.842Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-25T18:51:13.399Z. Cached copy · Source on social-api.ai
# SocialAPI.ai
> One API to publish posts and to read, manage, and respond to social media interactions (comments, DMs, reviews, and mentions) across 13 platforms. MCP-native for AI agents and developers.
SocialAPI.ai is a unified REST API for publishing posts and for reading and responding to social media comments, DMs, reviews, and mentions across 13 social, messaging and review platforms. It is MCP-native, designed for use with AI agents and developer automation workflows.
## What it does
SocialAPI.ai replaces per-platform social media API integrations with a single authenticated REST API. Developers connect social accounts via OAuth, then use one set of endpoints to:
- Read comments, reviews, DMs, and mentions across all connected platforms
- Reply to comments and reviews
- Send direct messages
- Moderate comments (hide, delete)
- Publish and schedule posts
- Receive real-time webhook events for new interactions
- Use the API as an MCP tool inside any Model Context Protocol AI agent
Instead of building and maintaining OAuth flows, webhook handlers, and rate-limit logic for each platform separately, developers integrate once and get access to all supported platforms.
## Developer resources
- [API documentation](https://docs.social-api.ai/): integration guides and full API reference
- [OpenAPI specification](https://docs.social-api.ai/api-reference/openapi.json): machine-readable schema for every endpoint
- [Docs for LLMs](https://docs.social-api.ai/llms.txt): llms.txt index of the documentation site
- [MCP server](https://api.social-api.ai/mcp): remote Model Context Protocol endpoint, authenticated with OAuth or an API key
- [Dashboard](https://app.social-api.ai): create an API key and connect social accounts
## MCP support
SocialAPI.ai is MCP-native. It exposes a Model Context Protocol server that AI agents can use as a tool to read and respond to social interactions without writing custom API code. Compatible with any MCP-capable framework including Claude, ChatGPT, Cursor, and open-source agent runtimes.
## Key pages
- [Home](https://social-api.ai/): product overview, features, and getting started
- [Pricing](https://social-api.ai/pricing): plan comparison and pricing details
- [About](https://social-api.ai/about): about SocialAPI.ai, mission, and technical philosophy
- [Contact](https://social-api.ai/contact): sales, support, and partnership contacts
- [Affiliates](https://social-api.ai/affiliates): 30% of every payment for 12 months, paid out monthly; referred customers get 50% off their first month
- [Blog](https://social-api.ai/blog): guides, comparisons and platform API explainers
## Supported platforms
- [Instagram](https://social-api.ai/platforms/instagram): comments, DMs, mentions, post publishing
- [Facebook](https://social-api.ai/platforms/facebook): comments, DMs, mentions, post publishing
- [Google Business Profile](https://social-api.ai/platforms/google): reviews, replies (read + respond)
- [TikTok](https://social
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| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| gofrantic.com | Frantic | interface AI and machine learning AI agents and MCP | — | 61 | ✓ | ||
| agentwebmap.com | Agent Web Map | interface AI and machine learning AI agents and MCP +1 | FR | 60 | ✓ | ✓ | |
| aiteamguide.com | AITeamGuide | documentation AI and machine learning Marketing +4 | — | 60 | ✓ | ✓ | |
| cloudflare.com | Cloudflare | interface AI and machine learning Infrastructure +1 | — | 85 | ✓ | ✓ | |
| adobe.com | Adobe Tools | transactional AI and machine learning Productivity +1 | FR | 75 | ✓ | ||
| intel.com | Intel Corporation | documentation Industry and manufacturing Consumer electronics +1 | US | 74 | ✓ | ✓ | |
| opera.com | The Opera browser overview | documentation Infrastructure AI and machine learning +2 | NL | 74 | ✓ | ||
| taboola.com | Taboola.com | documentation AI and machine learning Marketing | — | 74 | ✓ | ✓ |
Machine-readable: GET /v1/resolve?q=social-api.ai · GET /v1/domain/social-api.ai · this page as Accept: application/json or text/markdown · MCP lookup_domain
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