Be part of building the enterprise AI connector ecosystem
FIM One is at the beginning. A small, focused team and a platform that is technically ready — but an ecosystem that is still being built.
If you work with enterprise systems professionally — as a platform engineer, solutions architect, or backend developer — you know how painful cross-system integration is. You have probably built pieces of this yourself. FIM One is the shared foundation so nobody has to build it alone.
The connector ecosystem is being built now. Early contributors shape what it becomes.
Three ways to contribute
Whether you have 5 minutes or 2 days, there is a way to help build the connector ecosystem.
Import an OpenAPI spec
Drop in an OpenAPI spec URL and FIM One auto-generates a working connector with auth, endpoints, and semantic annotations.
Describe to AI Builder
Tell the AI Builder what the API does in plain language. It generates the connector code, tests it, and submits for review.
Write a Python MCP Server
Build a full MCP server in Python with custom logic, error handling, and production-grade reliability. The deepest integration path.
What to build
High-value connector targets that enterprises need most. Pick a system you know and build the connector.
| Category | Systems | Why it matters |
|---|---|---|
| CRM | Salesforce · HubSpot · Microsoft Dynamics | Cross-referencing CRM data with other systems is the most common enterprise AI use case. |
| ERP / Finance | SAP · NetSuite · Oracle ERP · Workday Financials | Financial data queries are high-value and currently inaccessible to most AI tooling. |
| ITSM / Support | ServiceNow · Zendesk · Freshdesk | Incident management and support workflows are ripe for AI orchestration. |
| HR Systems | Workday · BambooHR · ADP | HR data cross-referenced with org charts and project assignments. |
| Dev Tools | Jira · Linear · GitHub · PagerDuty | Engineering teams want AI across their entire toolchain. |
| Data Warehouses | Snowflake · BigQuery · Redshift | SQL-accessible — grounded answers from structured data at scale. |
| China Enterprise Stack | Feishu · WeCom · DingTalk · Yonyou · Kingdee · Seeyon · Weaver · DM · KingbaseES | The systems global AI platforms can't reach — a differentiated capability for multinational teams with China operations. |
Salesforce · HubSpot · Microsoft Dynamics
Cross-referencing CRM data with other systems is the most common enterprise AI use case.
SAP · NetSuite · Oracle ERP · Workday Financials
Financial data queries are high-value and currently inaccessible to most AI tooling.
ServiceNow · Zendesk · Freshdesk
Incident management and support workflows are ripe for AI orchestration.
Workday · BambooHR · ADP
HR data cross-referenced with org charts and project assignments.
Jira · Linear · GitHub · PagerDuty
Engineering teams want AI across their entire toolchain.
Snowflake · BigQuery · Redshift
SQL-accessible — grounded answers from structured data at scale.
Feishu · WeCom · DingTalk · Yonyou · Kingdee · Seeyon · Weaver · DM · KingbaseES
The systems global AI platforms can't reach — a differentiated capability for multinational teams with China operations.
Contributor incentives
We believe contributors should get real, lasting value — not just a thank-you.
Permanent attribution
Your name appears in the Connector Market on every deployment of your connector.
Commercial opportunity
When an enterprise customer needs a connector you built, we refer them to you.
Hall of Fame
Top contributors are featured on the website and in release notes permanently.
Shape the platform
Early contributors have direct influence over connector standards, API design decisions, and ecosystem direction.
Community channels
Join the conversation. Shape the roadmap. Build with us.
GitHub Discussions
Architecture proposals, API design, roadmap input, and technical deep-dives.
Open DiscussionsPublic Roadmap
Our roadmap is public and community-influenced. See what is coming and vote on priorities.
View Roadmap