Bika.ai

@bika list all records in the 'Customer Feedback' database and show me the most recent 10 entries with their status and priority fields

Retrieved 10 records from the Customer Feedback database. The results show 4 entries marked 'High' priority with 'Open' status, 3 'Medium' priority items in 'In Review', and 3 'Low' priority entries already 'Resolved'. Each record includes submission timestamp, customer ID, and feedback category. The database contains 247 total records; this page shows the most recent additions from the past week.

This example demonstrates read-only access to Bika databases. The MCP returns paginated results, so large databases require multiple requests with cursor tokens. You'll need the correct database ID from List Nodes first, and field selection by name only works if your schema uses consistent naming conventions.

@bika create three new task records in the 'Sprint Planning' database: one for API documentation with high priority, one for user testing with medium priority, and one for design review with low priority

Successfully created 3 records in the Sprint Planning database. Record IDs: rec_8x4j2k (API documentation, Priority: High, Status: Not Started), rec_9m5n3p (User testing, Priority: Medium, Status: Not Started), rec_7q6r4s (Design review, Priority: Low, Status: Not Started). All records initialized with default assignee 'Unassigned' and due date set to 7 days from now per database automation rules.

This write operation is immediate and permanent. The MCP can create up to 10 records per request. Field values must match the database schema exactly—incorrect field types or required fields missing will cause the entire batch to fail. Side-effect: any Bika automations triggered on record creation will fire immediately for all three records.

@bika get the schema for the 'Product Roadmap' database, then analyze all records and summarize which features are blocked and why

First retrieved the Product Roadmap schema showing 12 fields including Status, Blocker Reason, and Dependencies. Then queried all 43 records. Analysis reveals 8 features currently blocked: 5 awaiting API design completion (dependency on Engineering Infrastructure project), 2 blocked by pending legal review of data retention policies, and 1 blocked due to insufficient user research data. The blocked features represent approximately 35% of Q1 planned deliverables and cluster around two upstream dependencies.

This two-step workflow showcases the MCP's ability to support AI reasoning over structured data. Get Database Schema provides field IDs needed for precise queries, then List Records supplies the data for synthesis. Rate limits apply to both calls independently—high-frequency polling of large databases may hit Bika API quotas. The AI's analysis depends on consistent use of the Blocker Reason field across records.

When Bika beats a spreadsheet for distributed deal tracking

A 6-person sales team closing 20-30 deals a month needs live pipeline visibility without Salesforce overhead. Bika's record CRUD tools let an AI agent update deal stages, log call notes, and flag at-risk accounts during daily standups—no manual data entry. The schema introspection means the agent adapts when you add custom fields mid-quarter. This works until you hit 500+ deals or need complex workflow automation; at that scale, the 8-tool surface starts feeling thin and you'll want native integrations. If your team lives in Slack and closes deals in under 60 days, Bika keeps everyone aligned without forcing a CRM migration. Switchy turns those updates into a shared context your whole team can query.

Bika for support teams under 100 tickets per week

A 3-person support team handling 60-80 inbound tickets weekly can use Bika as a lightweight ticket database with AI-assisted routing. The agent reads new records via List Records, checks schema for priority and category fields, then updates assignments based on team capacity and expertise tags. Delete Records cleans up spam or duplicate submissions in real time. This setup shines when your ticket volume is predictable and your workflow is linear—one agent, one resolution path. Once you're triaging 200+ tickets a week or need SLA tracking and escalation rules, Bika's flat structure becomes a bottleneck. For early-stage support operations that outgrew email but aren't ready for Zendesk, Bika gives you structured data without the enterprise tax.

When Bika replaces Trello for one-off project sprints

A 5-person event team planning a quarterly conference uses Bika to track 80-120 tasks across vendors, speakers, and logistics. The AI agent creates records for new action items during planning calls, updates status as vendors confirm, and surfaces blockers by querying overdue tasks. List Nodes helps the agent navigate between the budget database and the speaker outreach tracker without manual switching. This works beautifully for finite projects with clear end dates—conferences, product launches, offsite planning. If your team runs continuous operations or needs Gantt charts and dependency mapping, Bika's simplicity becomes a limitation. For teams that need more structure than a shared doc but less process than Asana, Bika keeps everyone on the same page for 6-8 week sprints.