Using Multiple MCP Servers Together: Project Management + Docs + Code

Use multiple MCP servers in a single AI assistant session to combine project management, documentation, and code tools. This workflow guide shows you how to keep context clean, avoid conflicting writes, and orchestrate tools across servers effectively.

Why Use Multiple MCP Servers?

Combining multiple MCP servers enables powerful workflows:

Common Multi-Server Combinations

Project Management + Docs: Create tasks from documentation, link specs to tasks
Project Management + Code: Track implementation progress, link commits to tasks
Docs + Code: Update documentation based on code changes
All Three: Complete workflow from spec → code → task → documentation

Setting Up Multiple Servers

Configure multiple MCP servers in your client:

Example: Cursor with Corcava + File System

{ "mcpServers": { "corcava": { "url": "https://mcp.corcava.com", "headers": { "Authorization": "Bearer YOUR_API_KEY_HERE" } }, "filesystem": { "command": "npx", "args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/workspace"] } } }

Note: Each server is configured independently with its own auth and settings

Prompt Strategies for Multi-Server Usage

Strategy 1: Explicit Server Selection

Always specify which server to use for each operation:

Clear Server Selection

"First, use Corcava MCP to list my tasks due this week. Then, use the filesystem server to check if there's a README in the project root. Finally, create a task in Corcava for updating the README if it's missing."

Why this works: Explicitly names each server, prevents confusion

Strategy 2: Sequential Operations

Chain operations across servers in a clear sequence:

Sequential Workflow

"Workflow: 1. Use Corcava MCP to get task '[Task ID]' details 2. Use filesystem server to read the implementation file mentioned in the task 3. Review the code and update the task status in Corcava 4. Add a comment to the task with implementation notes"

Why this works: Clear sequence prevents parallel conflicts

Strategy 3: Context Isolation

Keep operations from different servers separate in your prompts:

Context Isolation

"Task 1 (Corcava): List tasks in project '[Project ID]' Task 2 (Filesystem): Read project documentation Task 3 (Corcava): Update task status based on documentation review Keep these operations separate—don't mix Corcava and filesystem operations."

Why this works: Prevents tool call confusion across servers

Avoiding Conflicting Writes

Prevent conflicts when multiple servers might write to the same resource:

Conflict Prevention Rules

Read before write: Always read current state before updating
One server per resource: Don't have multiple servers modify the same data
Explicit confirmation: Confirm before any write operation
Sequential writes: Don't write to the same resource from multiple servers simultaneously

Example: Safe Multi-Server Write

Safe Write Pattern

"1. Use Corcava MCP to get task '[Task ID]' current status 2. Use filesystem server to check if implementation file exists 3. Show me a preview of what will change: - Task status: [current] → [new] - File: [current state] → [will be created] 4. Wait for my approval before making any changes 5. Only after approval: update task in Corcava, then create file via filesystem"

This pattern: Reads first, shows preview, requires approval, sequential writes

Complete Workflow Examples

Example 1: Spec to Task to Code

End-to-End Workflow

"Workflow: Spec → Task → Code 1. Use filesystem server to read '[spec-file.md]' 2. Parse the spec and create tasks in Corcava MCP: - One task per major feature - Include acceptance criteria from spec - Show me all tasks before creating 3. After approval, create tasks in Corcava 4. For each task, use filesystem server to create implementation file 5. Update task status in Corcava as code is written"

Servers used: Filesystem (read spec, create files) + Corcava (tasks)

Example 2: Documentation Update from Task

Documentation Workflow

"Workflow: Task → Docs Update 1. Use Corcava MCP to get completed tasks from this week 2. For each task, use filesystem server to check if documentation needs updating 3. Draft documentation updates based on task outcomes 4. Show me the proposed documentation changes 5. After approval: update docs via filesystem, add comment to task in Corcava"

Servers used: Corcava (tasks) + Filesystem (docs)

Context Management

Keeping Context Clean

Clear boundaries: Separate operations by server in your prompts
Summarize between servers: Summarize results before switching servers
Explicit tool names: Use full tool names when multiple servers have similar tools
Reset context: Start new conversations for unrelated multi-server workflows

Context Reset Example

Clean Context Transition

"First, complete this Corcava workflow: [workflow details] After that's done, start a new context for filesystem operations: - Read project documentation - Check code structure - [other filesystem tasks] Keep these two contexts separate."

Why: Prevents tool call confusion and context pollution

Best Practices

Multi-Server Best Practices

Start simple: Use one server at a time until comfortable
Explicit naming: Always specify which server to use
Sequential operations: Complete one server's operations before starting another
Read before write: Always read current state before updating
Preview changes: Show previews before any write operations
Confirm writes: Require approval for write operations
Isolate contexts: Keep different server operations clearly separated

Combine Multiple MCP Servers

Use project management, docs, and code servers together for powerful workflows

Get Started →Prompt Patterns