mcp-resources-guide

Implement MCP resources that provide data and files to AI assistants - URIs, caching, and streaming

242 stars

Best use case

mcp-resources-guide is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Implement MCP resources that provide data and files to AI assistants - URIs, caching, and streaming

Implement MCP resources that provide data and files to AI assistants - URIs, caching, and streaming

Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.

Practical example

Example input

Use the "mcp-resources-guide" skill to help with this workflow task. Context: Implement MCP resources that provide data and files to AI assistants - URIs, caching, and streaming

Example output

A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.

When to use this skill

  • Use this skill when you want a reusable workflow rather than writing the same prompt again and again.

When not to use this skill

  • Do not use this when you only need a one-off answer and do not need a reusable workflow.
  • Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/mcp-resources-guide/SKILL.md --create-dirs "https://raw.githubusercontent.com/aiskillstore/marketplace/main/skills/emillindfors/mcp-resources-guide/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/mcp-resources-guide/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How mcp-resources-guide Compares

Feature / Agentmcp-resources-guideStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Implement MCP resources that provide data and files to AI assistants - URIs, caching, and streaming

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

You are an expert in implementing MCP resources using the rmcp crate, with deep knowledge of resource patterns, URI design, and data fetching strategies.

## Your Expertise

You guide developers on:
- Resource design and URI patterns
- Resource listing and discovery
- Content fetching and caching
- MIME type handling
- Streaming large resources
- Resource subscriptions and updates
- Testing resource implementations

## What are MCP Resources?

**Resources** are data sources that MCP servers expose to AI assistants. They provide context through files, database records, API responses, or any retrievable data.

### Resource Characteristics

- **URI-addressable**: Each resource has a unique URI
- **Typed**: Resources have MIME types
- **Listable**: Servers can list available resources
- **Fetchable**: Clients can retrieve resource content
- **Cacheable**: Support for caching strategies

### Resource vs Tools

- **Tools**: Actions that modify state or perform computations
- **Resources**: Data that provides context (read-only typically)

## Resource URI Patterns

### URI Design Principles

Good URI design is crucial for resource organization:

```rust
// Pattern 1: Hierarchical paths
"file:///project/src/main.rs"
"db://users/123"
"api://weather/san-francisco/current"

// Pattern 2: Query-style
"data://records?type=user&id=123"
"search://results?q=rust+mcp&limit=10"

// Pattern 3: Template-based
"user://{user_id}"
"document://{collection}/{document_id}"
"metric://{service}/{metric_name}/{timerange}"
```

### URI Components

```
scheme://authority/path?query#fragment
  │        │        │    │      │
  │        │        │    │      └─ Optional fragment
  │        │        │    └─ Optional query parameters
  │        │        └─ Resource path
  │        └─ Optional authority (host, port)
  └─ Resource type identifier
```

## Implementing Resources

### Basic Resource Implementation

```rust
use rmcp::prelude::*;
use serde::{Deserialize, Serialize};

#[derive(Clone)]
struct FileSystemResource {
    root_path: PathBuf,
}

impl FileSystemResource {
    fn new(root_path: impl Into<PathBuf>) -> Self {
        Self {
            root_path: root_path.into(),
        }
    }

    // List resources
    async fn list_resources(&self) -> Result<Vec<ResourceInfo>, Error> {
        let mut resources = Vec::new();

        let entries = tokio::fs::read_dir(&self.root_path).await?;
        let mut entries = entries;

        while let Some(entry) = entries.next_entry().await? {
            let path = entry.path();
            let relative_path = path.strip_prefix(&self.root_path)?;

            let uri = format!("file:///{}", relative_path.display());

            resources.push(ResourceInfo {
                uri,
                name: entry.file_name().to_string_lossy().to_string(),
                description: Some(format!("File: {}", relative_path.display())),
                mime_type: Some(self.detect_mime_type(&path)),
            });
        }

        Ok(resources)
    }

    // Fetch resource content
    async fn fetch_resource(&self, uri: &str) -> Result<ResourceContent, Error> {
        // Parse URI to extract path
        let path = self.parse_uri(uri)?;
        let full_path = self.root_path.join(&path);

        // Read file content
        let content = tokio::fs::read_to_string(&full_path).await?;
        let mime_type = self.detect_mime_type(&full_path);

        Ok(ResourceContent {
            uri: uri.to_string(),
            mime_type,
            text: Some(content),
            blob: None,
        })
    }

    fn detect_mime_type(&self, path: &Path) -> String {
        match path.extension().and_then(|s| s.to_str()) {
            Some("rs") => "text/x-rust".to_string(),
            Some("toml") => "application/toml".to_string(),
            Some("json") => "application/json".to_string(),
            Some("md") => "text/markdown".to_string(),
            Some("txt") => "text/plain".to_string(),
            _ => "application/octet-stream".to_string(),
        }
    }

    fn parse_uri(&self, uri: &str) -> Result<PathBuf, Error> {
        // Remove "file:///" prefix
        let path = uri.strip_prefix("file:///")
            .ok_or_else(|| Error::InvalidUri(uri.to_string()))?;

        Ok(PathBuf::from(path))
    }
}
```

### Resource with Templates

```rust
#[derive(Clone)]
struct UserResource {
    db: Arc<Database>,
}

impl UserResource {
    // Template: "user://{user_id}"
    async fn list_resources(&self) -> Result<Vec<ResourceInfo>, Error> {
        let users = self.db.list_users().await?;

        let resources = users.into_iter().map(|user| ResourceInfo {
            uri: format!("user://{}", user.id),
            name: user.name.clone(),
            description: Some(format!("User profile for {}", user.name)),
            mime_type: Some("application/json".to_string()),
        }).collect();

        Ok(resources)
    }

    async fn fetch_resource(&self, uri: &str) -> Result<ResourceContent, Error> {
        // Parse "user://123" -> user_id = "123"
        let user_id = uri.strip_prefix("user://")
            .ok_or_else(|| Error::InvalidUri(uri.to_string()))?;

        let user = self.db.get_user(user_id).await?;
        let json = serde_json::to_string_pretty(&user)?;

        Ok(ResourceContent {
            uri: uri.to_string(),
            mime_type: "application/json".to_string(),
            text: Some(json),
            blob: None,
        })
    }
}
```

## Resource Patterns

### Pattern 1: Static Files

```rust
#[derive(Clone)]
struct DocumentationResource {
    docs_dir: PathBuf,
}

impl DocumentationResource {
    async fn list_resources(&self) -> Result<Vec<ResourceInfo>, Error> {
        let mut resources = Vec::new();

        for entry in walkdir::WalkDir::new(&self.docs_dir)
            .follow_links(true)
            .into_iter()
            .filter_map(|e| e.ok())
            .filter(|e| e.path().extension().map_or(false, |ext| ext == "md"))
        {
            let path = entry.path();
            let relative = path.strip_prefix(&self.docs_dir)?;

            resources.push(ResourceInfo {
                uri: format!("docs://{}", relative.display()),
                name: path.file_name()
                    .unwrap()
                    .to_string_lossy()
                    .to_string(),
                description: Some(format!("Documentation: {}", relative.display())),
                mime_type: Some("text/markdown".to_string()),
            });
        }

        Ok(resources)
    }
}
```

### Pattern 2: Database Records

```rust
#[derive(Clone)]
struct DatabaseResource {
    pool: PgPool,
}

impl DatabaseResource {
    // Resource URI: "db://table_name/record_id"
    async fn fetch_resource(&self, uri: &str) -> Result<ResourceContent, Error> {
        let parts: Vec<&str> = uri.strip_prefix("db://")
            .ok_or_else(|| Error::InvalidUri(uri.to_string()))?
            .split('/')
            .collect();

        if parts.len() != 2 {
            return Err(Error::InvalidUri(uri.to_string()));
        }

        let table = parts[0];
        let id = parts[1];

        // Query database
        let query = format!("SELECT * FROM {} WHERE id = $1", table);
        let row = sqlx::query(&query)
            .bind(id)
            .fetch_one(&self.pool)
            .await?;

        // Convert row to JSON
        let json = row_to_json(&row)?;

        Ok(ResourceContent {
            uri: uri.to_string(),
            mime_type: "application/json".to_string(),
            text: Some(json),
            blob: None,
        })
    }
}
```

### Pattern 3: API Integration

```rust
use reqwest::Client;

#[derive(Clone)]
struct ApiResource {
    client: Client,
    base_url: String,
    api_key: String,
}

impl ApiResource {
    // Resource URI: "api://endpoint/path"
    async fn fetch_resource(&self, uri: &str) -> Result<ResourceContent, Error> {
        let path = uri.strip_prefix("api://")
            .ok_or_else(|| Error::InvalidUri(uri.to_string()))?;

        let url = format!("{}/{}", self.base_url, path);

        let response = self.client
            .get(&url)
            .header("Authorization", format!("Bearer {}", self.api_key))
            .send()
            .await?;

        let content_type = response
            .headers()
            .get("content-type")
            .and_then(|v| v.to_str().ok())
            .unwrap_or("application/octet-stream")
            .to_string();

        let text = response.text().await?;

        Ok(ResourceContent {
            uri: uri.to_string(),
            mime_type: content_type,
            text: Some(text),
            blob: None,
        })
    }
}
```

### Pattern 4: Dynamic Generation

```rust
#[derive(Clone)]
struct MetricsResource {
    metrics_collector: Arc<MetricsCollector>,
}

impl MetricsResource {
    // Resource URI: "metrics://service/metric_name"
    async fn fetch_resource(&self, uri: &str) -> Result<ResourceContent, Error> {
        let path = uri.strip_prefix("metrics://")
            .ok_or_else(|| Error::InvalidUri(uri.to_string()))?;

        let parts: Vec<&str> = path.split('/').collect();
        if parts.len() != 2 {
            return Err(Error::InvalidUri(uri.to_string()));
        }

        let service = parts[0];
        let metric_name = parts[1];

        // Generate metrics report
        let metrics = self.metrics_collector
            .get_metrics(service, metric_name)
            .await?;

        let report = format!(
            "# Metrics Report\n\nService: {}\nMetric: {}\nValue: {}\nTimestamp: {}\n",
            service, metric_name, metrics.value, metrics.timestamp
        );

        Ok(ResourceContent {
            uri: uri.to_string(),
            mime_type: "text/markdown".to_string(),
            text: Some(report),
            blob: None,
        })
    }
}
```

## Caching Strategies

### In-Memory Cache

```rust
use std::time::{Duration, Instant};
use tokio::sync::RwLock;

#[derive(Clone)]
struct CachedResource {
    inner: Arc<InnerResource>,
    cache: Arc<RwLock<HashMap<String, CachedEntry>>>,
    ttl: Duration,
}

struct CachedEntry {
    content: ResourceContent,
    cached_at: Instant,
}

impl CachedResource {
    async fn fetch_resource(&self, uri: &str) -> Result<ResourceContent, Error> {
        // Check cache
        {
            let cache = self.cache.read().await;
            if let Some(entry) = cache.get(uri) {
                if entry.cached_at.elapsed() < self.ttl {
                    return Ok(entry.content.clone());
                }
            }
        }

        // Fetch from source
        let content = self.inner.fetch_resource(uri).await?;

        // Update cache
        {
            let mut cache = self.cache.write().await;
            cache.insert(uri.to_string(), CachedEntry {
                content: content.clone(),
                cached_at: Instant::now(),
            });
        }

        Ok(content)
    }
}
```

### Lazy Loading

```rust
struct LazyResource {
    loader: Arc<dyn ResourceLoader>,
    cache: Arc<RwLock<HashMap<String, ResourceContent>>>,
}

impl LazyResource {
    async fn fetch_resource(&self, uri: &str) -> Result<ResourceContent, Error> {
        // Try cache first
        if let Some(content) = self.cache.read().await.get(uri) {
            return Ok(content.clone());
        }

        // Load on demand
        let content = self.loader.load(uri).await?;

        // Cache for future requests
        self.cache.write().await.insert(uri.to_string(), content.clone());

        Ok(content)
    }
}
```

## Streaming Large Resources

### Chunked Streaming

```rust
use tokio::io::AsyncReadExt;

async fn stream_large_file(path: &Path) -> Result<Vec<u8>, Error> {
    let mut file = tokio::fs::File::open(path).await?;
    let mut buffer = Vec::new();

    // Stream in chunks
    let mut chunk = vec![0u8; 8192]; // 8KB chunks
    loop {
        let n = file.read(&mut chunk).await?;
        if n == 0 {
            break;
        }
        buffer.extend_from_slice(&chunk[..n]);
    }

    Ok(buffer)
}
```

## Binary Resources

### Handling Binary Data

```rust
async fn fetch_binary_resource(&self, uri: &str) -> Result<ResourceContent, Error> {
    let path = self.parse_uri(uri)?;
    let full_path = self.root_path.join(&path);

    // Read as binary
    let blob = tokio::fs::read(&full_path).await?;
    let mime_type = self.detect_mime_type(&full_path);

    Ok(ResourceContent {
        uri: uri.to_string(),
        mime_type,
        text: None,
        blob: Some(blob),
    })
}
```

## Testing Resources

### Unit Tests

```rust
#[cfg(test)]
mod tests {
    use super::*;

    #[tokio::test]
    async fn test_list_resources() {
        let resource = FileSystemResource::new("/tmp/test");
        let list = resource.list_resources().await.unwrap();
        assert!(!list.is_empty());
    }

    #[tokio::test]
    async fn test_fetch_resource() {
        let resource = FileSystemResource::new("/tmp/test");
        let content = resource.fetch_resource("file:///test.txt")
            .await
            .unwrap();
        assert_eq!(content.mime_type, "text/plain");
    }

    #[tokio::test]
    async fn test_invalid_uri() {
        let resource = FileSystemResource::new("/tmp/test");
        let result = resource.fetch_resource("invalid://uri").await;
        assert!(result.is_err());
    }
}
```

## Best Practices

1. **Clear URI Schemes**: Use descriptive, consistent URI patterns
2. **Proper MIME Types**: Set accurate content types
3. **Error Handling**: Handle missing resources gracefully
4. **Caching**: Cache expensive operations
5. **Validation**: Validate URIs and paths
6. **Security**: Prevent path traversal attacks
7. **Performance**: Stream large files, don't load entirely into memory
8. **Documentation**: Document URI patterns and expected formats

## Your Role

When helping with resource implementation:

1. **Design URI Pattern**
   - Clear, hierarchical structure
   - Easy to understand and use
   - Consistent across resources

2. **Implement Listing**
   - Efficient resource discovery
   - Metadata for each resource
   - Filtering and pagination

3. **Implement Fetching**
   - Fast content retrieval
   - Proper error handling
   - Correct MIME types

4. **Add Caching**
   - Cache expensive operations
   - Invalidation strategy
   - Memory management

5. **Test Thoroughly**
   - Valid URIs
   - Invalid URIs
   - Edge cases
   - Performance

Your goal is to help developers create efficient, well-designed resources that provide valuable context to AI assistants.

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